Forem: Pururva Agarwal

Day 6: Why Real Health AI for India Needs 22 Languages, Not Just English

Pururva Agarwal — Sat, 25 Apr 2026 14:22:54 +0000

My mother uses a mix of Hindi and Marathi to describe how she feels. It's rarely a clinical 'abdominal discomfort'. It's more often 'thoda pet mein gadbad hai' or 'ang dhukte'. These aren't just colloquialisms - they are how health is communicated in our home. And for years, global health apps, built for an English-first world, have completely missed this.

Today marks Day 6 of our public sprint at GoDavaii, building India's Advanced Health AI. Our goal: create an intelligent assistant that speaks and understands India, in all its linguistic diversity. That means deep support for 22+ Indian languages, something no global competitor like Epocrates or drugs.com even attempts. Honestly, when we started, the sheer scale of this linguistic challenge felt daunting, but it's also our biggest differentiator.

The Unseen Language Barrier in Indian Healthcare

Think about a hurried doctor's visit in a tier-2 city. A patient, perhaps an elderly person, describes their symptoms in their native tongue - Tamil, Kannada, Bengali, Gujarati. The doctor translates, interprets, diagnoses. But what happens when families try to understand complex medication instructions, interaction warnings, or even simple home remedies from an English-only app? They're left in the dark. It's not just about word-for-word translation - it's about cultural context, nuances of expression.

This isn't just an inconvenience. It's a safety issue. My grandmother takes four different medicines every single day. For years, nobody in our family checked if those four medicines interacted. Now imagine that scenario compounded by language barriers, where even basic information is inaccessible. This is the reality for Indian families, and it's a problem GoDavaii was built to solve.

Beyond Translation: Building AI for Desi Nuances

When we talk about 22+ Indian languages, we're not just running text through a generic translation API. That's a shallow fix for a deep problem. We're training our AI Health Chat to understand the intent and context behind these varied expressions. This involves:

Culturally-aware symptom recognition: Identifying common symptoms described in various regional idioms. A 'body ache' isn't always 'body ache' - it could be 'ang dhukte' (Marathi) or 'deham novu' (Telugu). Our AI needs to recognize all of them as the same underlying symptom, across 22 languages.
AI-verified Desi Ilaaj (Home Remedies): This is where it gets truly unique. We cross-verify traditional Ayurvedic and home remedies with modern allopathic medicine, flagging potential interactions or contraindications. This requires a deep understanding of both systems, expressed and understood in local languages. No global player even touches this domain.
Localizing medical information: Presenting drug interactions, side effects, and health advice in a way that resonates culturally and linguistically, making it genuinely useful for a multi-generational Indian family.

This is why building for India is fundamentally different. It's not about replicating an existing solution with a language pack. It's about designing from the ground up for a unique reality.

The Journey to Empowering 100,000 Families

We're on Day 6 of our sprint, with a public target of reaching 100,000 families. Building this kind of AI infrastructure is incredibly challenging. It demands careful data collection, robust model training, and continuous iteration. We're using state-of-the-art models like Gemini 2.5 Flash, but the real work lies in adapting them to the intricate tapestry of Indian languages and health practices.

Our aim: help families ask better-targeted questions to their doctors. We're not here to replace medical professionals, but to empower every Indian family member to be better informed advocates for their own health, in their own language.

What are some of the most challenging language or cultural nuances you've encountered in healthcare? I'd love to hear your experiences in the comments below.

-- Pururva Agarwal, Founder, GoDavaii.com

Day 6 of Building GoDavaii: The 6-year-old, the Adult Antibiotic Dose, and Why We Built AI for India

Pururva Agarwal — Sat, 25 Apr 2026 05:59:42 +0000

Just yesterday, my maid came to me, tears in her eyes. Her 6-year-old daughter, who had a persistent cough, had been given an adult dose of antibiotics at a local clinic. She's a small girl for her age, and the dosage felt instinctively wrong to her mother. It was a stark, terrifying reminder of why I started GoDavaii.

The Silent Crisis of Medical Information in India

This isn't an isolated incident. I'm Pururva Agarwal, 27, and I founded GoDavaii in 2025 because I've seen these gaps firsthand. My own grandmother takes four different medications every morning, and for years, nobody in our Hindi and Marathi-speaking household truly understood what they were for, or if they interacted dangerously. We'd simply trust the doctor, and in a rushed 5-minute consultation, crucial details often get missed.

Imagine the scenario: a parent, perhaps not fully literate in English, visiting a busy clinic. The doctor's time is limited. The medical notes are in English, the pharmacist might speak a different dialect, and the fear of asking 'too many' questions is real. These aren't malicious oversights; they're systemic vulnerabilities that put families at risk.

My maid's daughter's situation highlighted a critical need: an intelligent assistant that speaks their language, understands their context, and empowers them to ask sharper questions - or simply to verify information when something feels off.

Building AI That Speaks 22+ Indian Languages

At GoDavaii, we're not aiming to replace doctors. We are building a thinking tool for families, an AI that acts as a second pair of eyes before their next appointment, helping catch what a rushed consultation might have missed. Our core innovation is the AI Health Chat in 22+ Indian languages. This isn't just translation; it's about understanding nuance.

When a mother types "पेट में दर्द और बुखार" (Hindi for stomach ache and fever) or "konjam nalla illa" (Tamil for 'not feeling well'), our AI understands these as symptom descriptions, not just generic phrases. It processes the query, cross-references against known conditions and common remedies, and offers explanations and potential cautions in the user's native language. For instance, it can quickly flag if a certain antibiotic dosage seems unusually high for a 6-year-old of a certain weight, prompting the parent to reconfirm with their doctor.

This deep linguistic capability is a massive technical challenge. It means moving beyond generic large language models and training our AI on vast, diverse datasets reflecting India's linguistic tapestry. It also means meticulously building our Drug Interaction Checker to understand not just allopathic medicines, but also to intelligently cross-verify with AI-verified Desi Ilaaj (Ayurvedic and home remedies), a feature no global competitor offers. We understand that many families rely on traditional practices, and ensuring safety in those combinations is paramount.

Building in Public: Day 6 & Our Journey Ahead

We're on Day 6 of our 30-day public sprint. We started with an ambitious goal: to reach 100,000 families across India and globally. Today, we're at 379 users. That number might seem small to some, but each one represents a family taking charge of their health information, asking better questions, and potentially avoiding an error. My maid's relief, knowing she had a tool to check, was immeasurable.

The engineering effort behind this is substantial. Ensuring accuracy, minimizing hallucinations, and maintaining privacy while delivering a fluid, multi-lingual experience is a constant balancing act. But seeing real families use it - families like mine, and my maid's - makes every late night worth it.

This isn't just about code; it's about dignity and safety. It's about giving every Indian family the same access to clear, understandable health information that's often only available to English speakers or those with unlimited access to top-tier medical advice.

What are your thoughts on using AI to augment, not replace, medical care for diverse populations? Have you or your family encountered situations where language or information gaps led to health worries? I'd genuinely love to hear your experiences in the comments.

Try GoDavaii in your language at godavaii.com.

Day 6: Building GoDavaii - When Our First 100 Users Revealed Unchecked Medicine Risks

Pururva Agarwal — Sat, 25 Apr 2026 05:45:21 +0000

On Day 6 of GoDavaii's public sprint, we've hit 379 users. What truly resonated, though, wasn't just the number of people exploring our platform, but a stark finding from our early cohort: 14 out of our very first 100 users, all Indian families, had at least one potential dangerous medicine combination flagged by our system. Zero had been previously aware.

That number - 14% of early users finding a previously unknown risk - hit me hard. It was a raw, immediate validation of why I started GoDavaii. It brought me right back to my grandmother, who takes four different medications every morning. For years, I'd worried about whether these combinations were truly safe, whether anyone was looking at the bigger picture.

The Silent Overload in Indian Households

Medical schools globally, including in India, teach drug interactions. But often, it's a week-long module, a checklist, not an ongoing, dynamic assessment. For families in India, the complexity is compounded. We live in multi-generational homes where a single person might see multiple doctors across different specialities, each prescribing medicines without full visibility of the others. Add to this the comfort of traditional home remedies - Desi Ilaaj - which are often incredibly effective but rarely cross-verified against modern pharmaceuticals. How do you check if the giloy kadha (a traditional immunity booster) interacts with a blood pressure medication?

This isn't a problem of negligence; it's a problem of scale and accessibility. Our interaction checker is designed to be a second pair of eyes before your next appointment, catching what a rushed consultation might miss. It's a thinking tool for families, not a medical provider, helping you ask sharper questions of your doctor.

Beyond English: Building AI for India's Reality

Creating GoDavaii wasn't just about building an AI. It was about building an AI that understands konjam nalla illa in Tamil as a symptom description, or pet dard in Hindi as stomach pain. Global health platforms like Epocrates or drugs.com are powerful, but they are almost entirely English-centric. That's a huge barrier for millions of families in India, where over 22 languages are spoken widely.

Our AI Health Chat in 22+ Indian languages is one of our deepest moats. It required not just translating, but localizing - understanding cultural nuances, regional colloquialisms for symptoms, and integrating knowledge from both allopathic medicine and AI-verified Desi Ilaaj. This means carefully curating and fine-tuning language models with contextually rich datasets, and then ensuring that the interaction checks can bridge both worlds. It's an order of magnitude harder than simply parsing English medical texts.

Learning in Public, Adapting in Real-Time

This build-in-public sprint is designed for transparency, for learning as we go. We started with 0 users, and today, on Day 6, we're at 379. The finding about those 14 families isn't just a number; it's a flashing red light. It tells us we're on the right track, tackling a real, urgent problem. It reinforces that the language barrier, the multi-generational dynamics, and the acceptance of Desi Ilaaj are not just features, but critical safety gaps our platform must address.

Our immediate focus remains on refining the AI's contextual understanding, expanding our Desi Ilaaj verification capabilities, and making the user experience even more intuitive across all languages. The target of 100,000 families by Day 30 feels ambitious, but when you see a tangible impact like preventing potential dangerous interactions, you know every line of code matters.

It makes me wonder: what silent health challenges are lurking in the everyday routines of families, simply because nobody built a tool for their specific reality? What are you building that addresses an overlooked cultural nuance?

Check any 2 medicines your family takes right now: godavaii.com

Day 6: When a 6-year-old was prescribed an adult dose - Building health AI for India's hidden risks

Pururva Agarwal — Sat, 25 Apr 2026 05:31:11 +0000

My heart sank when my maid, Shanti, showed me the prescription. Her 6-year-old daughter, Riya, had a cough and fever. The local clinic had prescribed an antibiotic - the exact same adult dosage I take sometimes. Riya weighs about 20kg. An adult antibiotic dose for a child? This wasn't negligence in the malicious sense, but a breakdown in communication, a rushed consultation, and perhaps a system that doesn't account for the unique vulnerabilities of every family.

This wasn't some abstract problem I read about in a report. This was real. This was a child I knew. This was the moment GoDavaii stopped being just a 'cool AI project' and became an urgent necessity.

The Silent Language Barrier: Where Errors Slip Through

In India, healthcare is a mosaic. You have top-tier hospitals, local clinics, traditional healers, and grandmothers with generations of wisdom. But between a tired doctor, a nervous parent, and a language barrier - Shanti speaks Hindi, the doctor spoke mostly English - critical details can get lost. The doctor might have meant "half a tablet," but that wasn't conveyed clearly. Shanti, trusting the white coat, simply followed instructions.

My own grandmother takes four different medications every morning. For years, I'd open each packet, Google the names, and pray I didn't miss a dangerous interaction. She speaks Marathi. Imagine the same scenario, but instead of me, it's her trying to navigate complex medical information in a language she barely understands. This isn't just about 'digital literacy'; it's about fundamental access to safety in your own mother tongue. That's why building GoDavaii with AI Health Chat in 22+ Indian languages isn't a feature, it's a foundation.

Beyond the Clinic Door: Why Families Need a Second Pair of Eyes

We often assume that once you leave the doctor's office, everything is settled. But that's when the real work begins for families: understanding dosages, side effects, potential interactions, and even cross-referencing with home remedies. Take Riya's case. If Shanti had access to an AI chat that could tell her, in Hindi, "This dosage seems too high for a 6-year-old," it wouldn't replace the doctor. It would empower her to ask a sharper question on the follow-up, or even seek a second opinion. It's a thinking tool for families, not a medical provider.

We are not building a replacement for your doctor. That's a dangerous fantasy. We're building a second pair of eyes before your next appointment, a tool that helps you ask sharper questions, and catches what a rushed consultation might have missed. Our Drug Interaction Checker isn't just about combining two medicines; it's about understanding the unique context of an Indian family - factoring in age, common conditions, and even traditional practices.

Our AI's Role: More Than Just a Translation

When we talk about 22+ Indian languages, it's not just a Google Translate wrapper. It's about training models (we're use fine-tuned Gemini 2.5 Flash instances and custom knowledge graphs) to understand nuances. It's about "konjam nalla illa" in Tamil being recognized as a symptom description, not just a casual complaint. It's about AI-verified Desi Ilaaj - a careful cross-verification of traditional remedies with modern medicine, flagging potential risks or reinforcing safe practices. Nobody else is building this. Epocrates won't check if neem leaves interact with a statin. We have to.

This level of contextual understanding is what makes GoDavaii unique. It's a painstaking process of sourcing, validating, and training. It's why my team and I spent months modeling drug interactions, far beyond the single week medical schools often dedicate to the topic. We're integrating data from diverse sources, ensuring our AI not only speaks the language but understands the cultural and medical landscape of India.

Building in Public: Day 6 & The Road Ahead

This public sprint isn't just for accountability; it's to share the raw reality of building something meaningful.
Today is Day 6 of our 30-day sprint. We're currently at 379 users, and our ambitious target is to reach 100,000 families across India and the world by the end of it. The journey is challenging, the stakes are high, but stories like Riya's remind us why we push.

The lessons are pouring in. We're seeing how families use the AI Health Chat not just for complex questions, but for simple reassurance about daily symptoms. We're iterating on the UI, making it even more intuitive for multi-generational homes. The engagement with our Desi Ilaaj feature has been surprisingly high, validating our decision to integrate it so deeply.

What's a silent risk you've seen families navigate in their healthcare journey, something that an AI assistant might have helped surface?

Explore GoDavaii's family health AI at godavaii.com.

Day 6: A 6-Year-Old, an Adult Antibiotic Dose, and Why I'm Building Health AI for India

Pururva Agarwal — Sat, 25 Apr 2026 05:07:18 +0000

Just last week, my maid's 6-year-old daughter was given an adult antibiotic dose at a local clinic. A six-year-old. My stomach dropped when I heard it. Her mother, stressed and trying to manage household duties while her child was sick, hadn't questioned the prescription. She trusts the doctor, of course. But this isn't an isolated incident; it's a stark reminder of the everyday reality of healthcare challenges in India - where language barriers, rushed consultations, and a lack of accessible support tools can have serious consequences.

This isn't about blaming anyone. It's about a systemic gap that I, as a founder, feel compelled to address. My grandmother takes four different medicines every day, and for years, I've worried about potential interactions, trying to Google combinations in English, knowing full well that many families don't even have that option. This personal background, combined with incidents like what happened to my maid's daughter, fuels every line of code we write at GoDavaii.

The Realities of Healthcare in India

Think about it: in a country with over 1.4 billion people, hundreds of languages, and a medical system often stretched thin, how do families truly understand their health? How do they catch a potential error like an incorrect dosage for a child? Most conversations with doctors happen in a hurry, often in a language that's not the family's primary tongue, leaving little room for questions or clarification. And when it comes to Desi Ilaaj - our traditional home remedies - there's a treasure trove of wisdom, but also a critical need for verification against modern medicine, especially when allopathic drugs are involved.

This isn't just about medicine; it's about making informed choices for your family's well-being. It's about having a second pair of eyes before your next appointment, helping you ask sharper questions, and catching what a rushed consultation might miss. GoDavaii isn't a substitute for your doctor; it's a thinking tool for families, designed to augment the doctor, not replace them.

Building GoDavaii: AI That Understands "Konjam Nalla Illa"

Our mission at GoDavaii is to empower Indian families with health intelligence they can actually use. This means building AI that understands the nuances of Indian life, culture, and especially, our languages. This is where we genuinely stand apart. While global competitors focus on English-speaking markets, we've poured our efforts into supporting 22+ Indian languages. Imagine typing 'bukhaar aur khansi' in Marathi into our AI Health Chat and getting relevant, contextual insights back - not just a generic translation. Or when our Tamil AI chat reads 'konjam nalla illa' not as a vague complaint, but as a symptom description, considering context and follow-up questions.

Our interaction checker, for instance, isn't just about a big database. It's about understanding the specific combinations that matter to your family, in your language. We're also integrating AI-verified Desi Ilaaj, cross-referencing traditional remedies with modern medical knowledge to ensure safety and efficacy - something no global platform does. From our Cough Analyzer to our Pregnancy medicine safety checker, every feature is built with the unique realities of multi-generational Indian homes in mind, considering everything from fasting practices to local dietary habits.

Under the hood, we're use models like Gemini 2.5 Flash for rapid, contextual understanding, combined with robust data pipelines to ensure accuracy across diverse medical sources and linguistic variations. It's a complex technical challenge, but one that feels deeply meaningful.

Day 6: The Marathon Continues

We're on Day 6 of our public sprint, and the journey is intense. As of today, we have 379 users actively exploring GoDavaii. Our target is ambitious: 100,000 families across India and the world who feel more confident about their health decisions. Every user, every feedback message, reinforces the need for what we're building. We're not chasing vanity metrics; we're chasing impact.

This isn't just about technology for technology's sake. It's about addressing fundamental human problems, problems that hit close to home for so many of us. The incident with my maid's daughter was a gut punch, but it also crystallized why GoDavaii exists. It's for every family that deserves clear, accessible, and culturally relevant health information.

What are your thoughts on integrating AI into everyday health decisions, especially in contexts with diverse languages and traditional practices? How do you ensure your family's medicines are always safe? I'd love to hear your experiences and perspectives in the comments.

Check out GoDavaii for yourself at https://www.godavaii.com.

Day 5: Why Building Health AI for 22 Indian Languages Means More Than Translation

Pururva Agarwal — Fri, 24 Apr 2026 16:55:33 +0000

We're on Day 5 of our public sprint building GoDavaii, and we've just crossed 379 users. It's a small but meaningful start on our way to supporting 100,000 families. But for me, Pururva Agarwal, the 27-year-old founder, the real milestone isn't just the user count - it's every single time our AI Health Chat correctly understands a symptom described in, say, Marathi, exactly the way my grandmother would phrase it. This isn't just about translating English into 22 Indian languages; it's about understanding 22 distinct ways a family describes 'not feeling well.' And honestly, that's where most global health apps, built for English-first markets, completely miss the mark.

The Nuance of "Kaaichal" - Beyond Direct Translation

When someone says "I have a fever" in English, it's pretty straightforward. But in India, the same underlying condition might be described as 'kaaichal' in Tamil, 'tap' in Hindi, or 'jwar' in Marathi. The challenge isn't just mapping these words; it's about the context and implied severity that often comes with them. My grandmother, for instance, might say, "Thoda tap aala aahe, potat dukhta aahe" (I have a bit of a fever, and my stomach hurts). An English-centric AI, even with a translation layer, might struggle to piece together the nuance of "thoda tap" or the casual way serious symptoms are sometimes conveyed.

Global competitors like Epocrates or drugs.com are incredible resources, but they're fundamentally built on English medical terminologies and Western healthcare contexts. They don't account for the reality of multi-generational Indian homes where medical conversations happen in regional languages, often mixing traditional beliefs with modern medicine. Our approach with GoDavaii's AI Health Chat, use models like Gemini 2.5 Flash, isn't just about language processing. It's about cultural processing - understanding that a mother in Punjab describing her child's cough isn't using clinical terms, but a rich, localized vocabulary that needs intelligent interpretation.

The Data Problem: Training for True Linguistic Diversity

Building an AI that genuinely understands 22+ Indian languages, beyond a mere Google Translate wrapper, is a monumental data challenge. Where do you find high-quality, medically-relevant conversational datasets in these languages? The answer: you build them. We've had to work with linguists and medical experts across different regions to curate and annotate conversations, focusing on how symptoms, medical histories, and traditional remedies (our AI-verified Desi Ilaaj feature being a prime example) are actually discussed. This isn't just about feeding in dictionaries; it's about teaching the AI to infer, to ask clarifying questions in the right language, and to recognize regional colloquialisms that signify specific health concerns.

For a technical audience, imagine the complexity of training a robust NLP pipeline not just for different languages, but for different styles of medical communication within those languages. We're talking about everything from the subtle differences in expressing abdominal discomfort in Bengali versus Gujarati, to understanding the context of fasting traditions (like during Karva Chauth or Navratri) that might influence medication schedules or dietary advice.

GoDavaii's Approach: An Augmented Thinking Tool

GoDavaii is built to be a thinking assistant for families. It helps them surface questions to ask their doctor, providing a second pair of eyes before their next appointment and catching what a rushed consultation might have missed. It's not a substitute for your doctor, and it certainly doesn't make diagnoses. My goal, inspired by my own grandmother's daily medication challenges, is to empower families to be better advocates for their own health, regardless of the language they speak at home.

Our Drug Interaction Checker, for example, is not just running an English database through a translator. It's designed to understand medicine names as they're commonly used in India, and it's backed by our language-aware AI. The same goes for our Pregnancy medicine safety checker or the Lab Report AI explanation - all designed to bridge the language gap.

We're just on Day 5, but every day we get closer to understanding the true linguistic mosaic of Indian healthcare. It's a difficult path, but it's the only way to build something that genuinely serves families like mine. We're not just adding features; we're rebuilding the foundation of health AI for an entirely different reality.

What's the most challenging localization problem you've tackled in your own projects? I'd love to hear your insights in the comments. You can explore GoDavaii's approach at godavaii.com.

Day 5 of GoDavaii: The AI Challenge of 22+ Indian Languages - A Founder's Deep Dive

Pururva Agarwal — Fri, 24 Apr 2026 15:00:44 +0000

Day 5 of our public sprint, and I've been spending a lot of time thinking about kaaichal. Not just 'fever' - but the way my Tamil-speaking friends describe it as a dull ache, a general unwellness that isn't quite a 'fever' in the clinical sense, but carries the same urgency. This seemingly small linguistic nuance is at the core of GoDavaii's mission and our biggest technical hurdle.

Today, we're at 379 families using GoDavaii, steadily climbing towards our public target of 100,000. Each new user brings a fresh perspective on how healthcare isn't just about medicine, but how we talk about it. As Pururva Agarwal, 27, founder of GoDavaii, I started this journey because my grandmother, speaking Hindi and Marathi, struggled to get clear health advice for her four daily medicines. This linguistic and cultural gap is magnified across India's incredible diversity.

The "Same" Symptom, 22 Different Ways

When we began building GoDavaii's AI Health Chat, the common wisdom was, "just use a good translation API." But healthcare communication isn't about direct translation; it's about interpretation. Imagine a phrase like "pet mein gud-gud" in Hindi - literally 'gurgling in the stomach'. A direct translation might miss the implications of indigestion or gas. Or a symptom like 'malaise' - how that feels and how it's described can be wildly different in Malayalam versus Bengali.

This isn't just theoretical. World Malaria Day just passed, reminding us how critical early detection and prevention are, especially for vulnerable groups like pregnant women. If a mother in a remote village describes her fatigue and chills in her local dialect, and an AI platform can't grasp the subtle, culturally-inflected meaning, we've failed her before a doctor even enters the picture. English-only apps, even the most advanced ones, simply cannot bridge this gap. This is why GoDavaii supports 22+ Indian languages - not as an afterthought, but as a foundational pillar.

Beyond Translation: The Cultural Context Layer

Our challenge extends far beyond converting words. It's about context. My grandmother might describe a remedy her mother taught her - a Desi Ilaaj (home remedy) - for a cough. A typical AI would flag it as unverified or irrelevant. GoDavaii's AI, however, cross-verifies these traditional remedies against established medical databases, bridging ancient wisdom with modern science. It's about acknowledging the reality of Indian family health practices, including fasting rituals, specific dietary habits, and traditional pregnancy care methods that are often overlooked by global health platforms.

This is where our unique moat lies. Global competitors like Epocrates or drugs.com are exceptional, but they are built for different realities. They don't understand the nuances of a multi-generational Indian home where a diagnosis for one person impacts everyone, or where language barriers often mean critical information is lost in translation during a rushed consultation.

Building the Interpreter, Not Just the Translator

Under the hood, this means we're not just fine-tuning a large language model. We're developing custom embeddings and localized knowledge graphs. We use Gemini 2.5 Flash for its multimodal capabilities and speed, but the real magic happens in the layers we've built on top. Our language models are trained on specific medical terminology and symptom descriptions across each of the 22+ languages. It's a continuous, data-intensive process of understanding not just what is said, but how it's said, and what it implies within a specific cultural framework.

For our interaction checker, which helps families like mine ensure no dangerous medicine combinations are missed, this means ingesting information that reflects local prescribing patterns and available medications - not just global standards. It's a second pair of eyes before your next appointment, helping you ask sharper questions of your doctor, augmenting their practice rather than replacing it.

GoDavaii's Sprint: 379 Families, One Big Mission

Every day of this sprint brings new learnings. We're at Day 5, with 379 users, and our target is 100,000 families across India and the world. Building in public means sharing these challenges and triumphs. This isn't just about technology; it's about trust, accessibility, and empathy.

Making AI truly useful in health means respecting and understanding local realities, not trying to force everyone into an English-only, one-size-fits-all box. It's a hard problem, but one I believe is worth solving.

What are the most challenging linguistic or cultural nuances you've encountered when building for diverse user bases, especially in healthtech? Share your thoughts in the comments.

Pururva Agarwal, Founder, GoDavaii. Explore our work at https://www.godavaii.com

Building for 22 Languages: The Unseen Hurdles of Health AI in India - GoDavaii Day 5

Pururva Agarwal — Fri, 24 Apr 2026 14:51:18 +0000

It's Day 5 of GoDavaii's sprint, and we're at 379 users, targeting 100,000 families across India and the world. Every single day brings a fresh challenge, and today, I'm thinking about language - not just translation, but true understanding.

My grandmother, a woman whose life story could fill a library, takes four different medicines every morning. For years, I watched her try to explain her occasional dizziness or a sudden ache to doctors who primarily spoke English, while she spoke Hindi and Marathi. The nuance, the feeling of her symptoms, often got lost. Imagine trying to convey 'a dull ache that feels like a weight' when all you know is a vague 'pain'. This isn't just a cultural barrier; it's a critical information gap that traditional health apps, designed for English-speaking markets, simply cannot bridge.

More Than Just Words: The 'Kaaichal' Problem

When we started building GoDavaii, we knew this had to be central. It's not enough to offer a dropdown for 'Hindi'. You need to understand that 'kaaichal' (a common word for fever in many parts of India, particularly in the south) isn't just a simple synonym for 'fever'. It carries a specific cultural context, sometimes implying a mild unwellness rather than a clinically defined fever temperature. English-only health AI will flag symptoms like 'fever' or 'cough' but miss the rich, often colloquial descriptions that millions of Indian families use daily.

This is why we're so committed to our AI Health Chat in 22+ Indian languages. It means training our models, not just on medical journals, but on how real Indian families talk about sickness. We're using advanced language models, like Gemini 2.5 Flash, to build this understanding. We're meticulously curating datasets from various regions, ensuring that when someone in Tamil Nadu describes feeling 'konjam nalla illa' (a bit unwell), our AI understands the underlying health implication, not just the literal translation. This goes far beyond what global competitors offer; they're simply not designed for the linguistic mosaic of India.

Engineering for Empathy: The Multilingual Data Challenge

The engineering behind this is, frankly, daunting. Imagine collecting, annotating, and training an AI to understand not just 22 different languages, but the medical nuances within each. It's about building a contextual understanding that can cross-verify traditional Desi Ilaaj (AI-verified home remedies) with modern allopathic medicines, understanding local food habits, and even fasting traditions that impact drug absorption. This level of localization means:

Data Scarcity: While there's plenty of English medical data, finding high-quality, medically-verified symptom descriptions in languages like Assamese, Kannada, or Odia is a monumental task. We're building these datasets from the ground up.
Dialectal Variations: India's languages have numerous dialects. Ensuring our AI recognizes symptoms consistently across these variations requires continuous iteration and fine-tuning.
Cultural Context: Certain ailments or symptoms are described with cultural metaphors. Our AI must learn to interpret these correctly to provide accurate, actionable insights for families to take to their doctor. For instance, understanding the local context of symptoms often associated with conditions like malaria, which sadly remains a significant concern in many communities, requires this deep linguistic and cultural integration. Early detection, as headlines remind us, can save lives, and early verbalization in a language a family understands is the first step.

Day 5: Scaling Trust, One Conversation at a Time

Today, on Day 5, with 379 users exploring GoDavaii, every chat, every medicine added to our interaction checker, every Plate Scan analyzed, is a data point helping us refine this multilingual engine. We're not just building features; we're building trust in a system that speaks to you, truly understands you. It's about giving families a second pair of eyes, a thinking tool that helps them ask sharper questions during a rushed consultation, or catch what might have been missed due to a language barrier.

We're not here to replace your doctor; we augment them. We're a thinking tool for families, not a medical provider. Our goal is to empower, to make health conversations clearer and safer, bridging the gap between medical expertise and the diverse ways Indian families communicate.

What are the biggest challenges you see in making health tech truly accessible across cultures and languages? Share your thoughts below - I'm genuinely curious about your perspective.

Explore GoDavaii and see our core features for yourself at https://www.godavaii.com

GoDavaii's Day 5: When 22 Indian Languages Redefine 'Hard' in Health AI

Pururva Agarwal — Fri, 24 Apr 2026 14:20:53 +0000

It's Day 5 of GoDavaii's public sprint, and we're at 379 users. That number, small as it might seem on the surface, represents 379 families (or individuals) who have interacted with an AI designed to understand health in their own language. And honestly, that 'own language' part? It's where the real deep-tech challenge lies, one that 99% of global health AI misses entirely.

More Than Just 'Translate': The Health AI Babel

When most people think of AI and language, they think of tools like Google Translate or a chatbot that can switch between English and one or two other common languages. But in India, it's a completely different ballgame. My family speaks Hindi and Marathi at home, and the way my grandmother describes a headache in Marathi isn't a direct linguistic equivalent of how a doctor might log it in English. It's cultural. It's nuanced. 'Kaaichal' for fever in Tamil isn't just a word; it carries a different weight, a different context than 'fever' alone.

English-only health apps, no matter how sophisticated their medical databases, completely fail these 22+ ways a symptom gets described. They're built for a different reality. This isn't just about translating medical terms; it's about understanding the specific, sometimes colloquial, ways people describe their pain, their discomfort, their 'desi ilaaj' (home remedies) in their local tongue. This is the chasm we're trying to bridge with GoDavaii's AI Health Chat.

The Technical Abyss: From NLU to AI-Verified Desi Ilaaj

Building an AI that can truly operate in 22+ Indian languages for health isn't a simple NLP problem. It's a complex dance between highly localized Natural Language Understanding (NLU) and robust medical knowledge representation. We're leveraging models like Gemini Flash for its strong multilingual capabilities, but it's not a plug-and-play solution.

We're not just translating "paracetamol" into Hindi. We're building context. When a user asks about a home remedy like 'haldi doodh' (turmeric milk) for a cough in Bengali, our system needs to:

Understand the Bengali query.
Identify 'haldi doodh' as a specific Desi Ilaaj.
Cross-reference it with known allopathic drug interactions, not just against specific chemicals, but against common conditions or contraindications that 'haldi' might present.
Then, respond in clear, accessible Bengali, explaining potential benefits or cautions, augmenting the family's understanding without ever replacing a doctor.

This AI-verified Desi Ilaaj feature is one of GoDavaii's deepest moats. No global competitor even attempts this level of culturally integrated, AI-cross-verified health information. It's about validating the wisdom passed down through generations while ensuring it doesn't unknowingly conflict with modern medicine. Imagine the data labeling, the model fine-tuning, and the constant validation required across all these linguistic and cultural variations. It's a beast, but it's essential for building trust in Indian families.

GoDavaii's Sprint: Learning from 379 Families

Today, Day 5, we have 379 users on GoDavaii. Each one is a data point, a learning opportunity. We're observing how families are using our interaction checker, the AI Health Chat, and even niche features like the Pregnancy medicine safety checker or the Cough Analyzer.

Are they asking about specific drug combinations in Marathi? Are they trying to understand lab reports in Tamil? The beauty of building in public, even with a relatively small user base, is this immediate feedback loop. We’re seeing, for instance, a surprising number of questions related to Ayurvedic preparations and their safety alongside prescribed allopathic drugs – validating our focus on Desi Ilaaj. We’re also finding new dialectical variations that our models didn’t initially capture, which then feeds directly back into our training data. This sprint is a public, iterative process towards our goal of serving 100,000 families across India and the world.

My vision for GoDavaii stems from my grandmother's experience. She takes four different medications every day, and for years, nobody in our family (or even her busy doctors) consistently checked for potential interactions. GoDavaii is designed to be that second pair of eyes, that thinking tool for families, helping them ask sharper questions during consultations, catching what a rushed appointment might have missed. We're not here to replace the doctor; we're here to augment the family's ability to navigate their health.

Closing Thought

Building a truly localized health AI for a country as diverse as India is perhaps one of the most challenging, yet vital, endeavors in health tech right now. It forces us to rethink everything from data architecture to user experience, far beyond what English-centric models can offer. We’re still early, but every family that finds clarity in their own language fuels our conviction.

What's the most underestimated technical challenge you've encountered when localizing a product for a truly diverse market? Share your thoughts in the comments!

Check out our progress at https://www.godavaii.com.

Day 5 of GoDavaii's Public Sprint: Why 'Kaaichal' in 22 Languages is Harder Than It Looks

Pururva Agarwal — Fri, 24 Apr 2026 12:06:37 +0000

You know, something as simple as 'fever' can derail a family's health journey in India. Not because of the fever itself, but because of how it's described. In English, it's 'fever'. In Tamil, it might be 'kaaichal'. In Marathi, 'tap'. On Sprint Day 5, with 379 users onboard, we're seeing this challenge first-hand, and it reinforces why GoDavaii isn't just another health app.

I started GoDavaii because of my grandmother, who takes four different medications every day. Nobody in our family was checking if those medicines interacted. But even before that, I realized a deeper problem: how would she even describe a new symptom to an AI, let alone understand its implications, if it wasn't in her native tongue?

This isn't just about translation; it's about cultural context, about the specific ways ailments are perceived and articulated across India's incredibly diverse linguistic landscape. An AI trained predominantly on English medical texts simply can't grasp the nuances.

The Unseen Barrier: Symptom Description

When we first prototyped the AI Health Chat, our early English models were... okay. They could handle standard medical terminology. But as soon as we introduced regional inputs, it broke. A headache isn't always just a headache. It could be 'thalaivali' in Tamil, or 'sir dard' in Hindi, but the underlying description might also include cultural idioms or local beliefs about its cause. An English-only platform, no matter how sophisticated its AI, will always miss these critical layers of context.

This isn't a problem Epocrates or drugs.com face, because their target audience is primarily English-speaking medical professionals. But for us, building for the Indian family reality means our AI needs to listen and respond in 22+ Indian languages. It means understanding 'kaaichal' isn't just a word; it's a symptom embedded in a family's lived experience, potentially leading to questions about traditional 'Desi Ilaaj' (AI-verified home remedies) or concerns about fasting during religious observances.

Building for Bharat: Our AI Architecture Choices

Supporting 22+ languages wasn't an afterthought; it was a foundational design principle. This meant making deliberate architectural choices from day one. We couldn't just throw Google Translate at the problem. Medical language, especially when dealing with symptom descriptions, drug interactions, or lab report explanations, requires a much deeper, context-aware understanding.

Our approach involves a blend of large language models, fine-tuned specifically on medical texts in Indian languages, coupled with robust embedding strategies to ensure semantic similarity across diverse linguistic inputs. For instance, when a user asks about pregnancy medicine safety in a regional language, the AI doesn't just translate the query; it understands the specific cultural sensitivities and regional medical practices that might be relevant. This is particularly crucial for features like our Drug Interaction Checker, where accuracy is paramount, regardless of the input language.

It's a continuous process of data collection, model training, and rigorous validation. We're not just adding language packs; we're building a truly multilingual, culturally aware AI that can parse the subtle differences in how a stomachache or a cough (which our Cough Analyzer can pick up on) is described in Hindi versus Telugu.

More Than Translation: Family Reality

Ultimately, GoDavaii is a thinking tool for families, not a medical provider. It's designed to augment the doctor, to provide a second pair of eyes, and to help families ask sharper questions during a rushed consultation. And for that to work, it has to speak their language – not just literally, but culturally.

Imagine an elderly parent trying to explain their symptoms to a doctor through a child, who then tries to translate a complex diagnosis back. The communication breakdown is immense. Our AI Health Chat aims to bridge that gap, empowering every family member, regardless of their English proficiency, to engage with their health information directly and confidently. It's about giving them the tools to surface critical questions, like potential drug interactions, before their next appointment, catching what a rushed consultation might have missed.

We're still early in our public sprint, but the feedback from our 379 users already highlights how vital this language-first approach is. It's not just about functionality; it's about belonging, about building something that truly understands and serves the unique needs of Indian families.

What's the most surprising language barrier you've encountered in healthcare, either personally or professionally? Share your thoughts in the comments below, or better yet, try checking two medicines your family takes at godavaii.com.

Day 4: Why My Mother's 6-Minute Cardiologist Visit Shaped GoDavaii's AI Ethos

Pururva Agarwal — Thu, 23 Apr 2026 17:49:56 +0000

Last month, my mother, who has managed hypertension for over 40 years, had her annual cardiology check-up. Six minutes. That's all the time the doctor could spare to review decades of history, her current medications, and a new set of lab results. My heart sank. How could anyone possibly catch every critical detail, every potential interaction, in such a fleeting moment? This isn't just my mother's story; it's the reality for millions of Indian families, and it's precisely why I started GoDavaii, India's Advanced Health AI.

This week, as headlines discuss the 'Diabetes Shoulder' — a complication that often builds silently over years – it only reinforces the urgency I feel. These are the kinds of health challenges that get missed in those critical, yet rushed, six-minute windows.

The Silent Crisis of Speed-Run Consultations

I’m Pururva Agarwal, 27, and I founded GoDavaii in 2025 because I witnessed this healthcare reality firsthand, not just with my mother, but across my extended family who speak Hindi and Marathi at home. The problem isn't always about a lack of medical knowledge; it's about context, time, and communication. Doctors in India are incredibly skilled, but they are often managing an overwhelming patient load. This often means:

Rushed Interactions: Leading to crucial details, medication interactions, or subtle symptoms being overlooked.
Language Barriers: A doctor might speak English, but a patient's family might only be comfortable in Marathi, Bengali, or Tamil. Nuances get lost.
Complex Family Dynamics: In multi-generational Indian homes, one person often manages care for several elders, each with multiple medications, diets, and traditional remedies. Keeping track is a monumental task.

My grandmother, for instance, takes four different medications every single day. For years, nobody in our family consistently checked if those medicines interacted negatively with each other, or with the Ayurvedic 'Desi Ilaaj' remedies she also prefers. The stakes are incredibly high, and the tools available simply aren't designed for this specific reality.

Beyond Buzzwords: AI That Actually Helps Real Families

At GoDavaii, we’re not just slapping an 'AI-powered' label on a pharmacy app. Our focus is on solving these deep-rooted problems. We're building a thinking assistant for families, a second pair of eyes before your next appointment. Here's how we're approaching it:

22+ Indian Languages: This is a core differentiator. Global players like Epocrates or Medscape are English-only. We've poured significant effort into making our AI Health Chat, drug interaction checker, and lab report explanations accessible in languages like Hindi, Marathi, Bengali, Tamil, and many more. This isn't just translation; it's cultural localization, understanding how health is discussed and understood in different regions.
AI-Verified Desi Ilaaj: This is where we truly stand apart. We’re integrating and cross-verifying traditional Ayurvedic remedies with allopathic medicine. This means our system can flag potential interactions between your prescription drug and a common home remedy your grandmother might be taking. No global competitor even attempts this.
Built for Indian Family Reality: Our features, like the Pregnancy medicine safety checker, or even the underlying logic of our interaction checker, are designed with the nuances of Indian life in mind – considering dietary restrictions during fasting periods, common traditional practices, and the multi-generational caregiving model.

On the technical front, we're leveraging models like Gemini 2.5 Flash for our AI Health Chat. But the real engineering challenge isn't just making an API call; it's fine-tuning these models for medical accuracy in diverse Indian languages, understanding complex Desi Ilaaj patterns, and ensuring the responses are culturally sensitive and actionable, not just verbose.

Building in Public: Day 4 & Our Mission

Today marks Day 4 of our public sprint. We’re currently at 379 users, and our target is to reach 100,000 families across India and beyond. Every day, we’re iterating, learning, and sharing our progress. Our speed run at godavaii.com/speed-run is a live testament to our journey.

We’re not building a doctor replacement, and it's critical to state that upfront. GoDavaii is a tool to help families surface questions, catch what a rushed consultation might have missed, and ultimately, ask sharper, more informed questions to their healthcare provider. It augments the doctor, doesn't replace them.

As we push towards our goal, my biggest question for the dev community and anyone building in health-tech is this: In an ecosystem where doctors are stretched thin, how do we build intelligent tools that truly support clinical care without over-promising or creating new forms of dependency? I'd love to hear your thoughts on this ethical tightrope. How do you see AI responsibly filling these crucial gaps? You can also try GoDavaii yourself and let me know what you think.