Forem: Hithesh Reddivari

ValueMate: Shopping Agent for Facebook Marketplace

Hithesh Reddivari — Sun, 26 Jan 2025 19:23:01 +0000

This is a submission for the Agent.ai Challenge: Productivity-Pro Agent (See Details)

What I Built

Buying used goods just got easier with ValueMate which is a buyer agent that helps you evaluate price, negotiate and inspect the goods.

I built a shopping assistant agent designed to enhance productivity and streamline the decision-making process when browsing used goods on Facebook Marketplace. The agent automates tedious research tasks and provides actionable insights directly within the user’s workflow. Here’s how it works:

Extracting Key Details: The agent pulls relevant product information (title, description, price) directly from a marketplace listing.
Automated Research with Google Search: It compares prices and gathers additional details from Google, automating the otherwise time-consuming process of manual research.
Insightful Evaluations with LLMs: Leveraging the power of LLMs, the agent evaluates the product based on the gathered data, providing users with clear recommendations and insights.

This tool fits perfectly into the competition’s focus on productivity and workflow automation. By integrating seamlessly with a Chrome extension, the agent eliminates the need for users to switch between tabs or perform manual research, making the process faster, easier, and more efficient. Whether for frequent shoppers or anyone who needs to make informed purchasing decisions, this agent is a game-changer in terms of saving time and effort.

Inspiration for the Idea

This project is very personal to me. A while back, I bought my first lawnmower—used, from Facebook Marketplace. I wanted to save some money, but I didn’t have much experience with lawnmowers. After a few days, I realized it had several defects I hadn’t noticed during the purchase. A bit of research showed these were common issues, and if I’d known about them earlier, I could have made a better decision—or at least negotiated a better deal.

That experience stayed with me, and when I saw this challenge, I realized it was the perfect opportunity to create a solution I wished I’d had back then. With the power of LLMs, we now have tools that can analyze data and provide insights almost instantly.

It’s like Carfax for used cars—but generalized for everything. Whether it’s a lawnmower, a piece of furniture, or electronics, this agent helps users evaluate second-hand products quickly and confidently. It’s also great for anyone who wants to save money or make eco-friendly choices by buying pre-owned items.

Demo

You can try out the agent manually on Agent.ai:agent link
The real magic happens when you use it with the Chrome extension. The extension pulls the listing details from Facebook Marketplace, sends them to the agent, and displays the insights directly on the marketplace page. No extra tabs or effort needed.

Check out this video demo to see it in action:

It’s a smooth and intuitive experience that keeps users focused on what matters—finding the best deals.

Agent.ai Experience

Delightful Moments

Using Agent.ai for this project was a fascinating experience. The platform provides tools that make building agents incredibly simple and powerful, including:

LLM integrations for generating contextually aware responses.
Google Search capabilities for real-time data retrieval.
Webhook and WebSocket triggers for dynamic functionality.

One feature I really loved was the Google Search integration, which wasn’t just a basic search API. It’s contextually aware, providing highly relevant results for my queries. For example, when I searched for pricing and product details, it intelligently retrieved shopping-related results and filtered out unrelated noise. This saved me a lot of time.

Here’s a screenshot of how search results are displayed on the platform:

Another example of its power is the ability to extract specific data, like price comparisons:

Building the Workflow

I started by testing out individual features like webhooks, which allowed me to send data from the Chrome extension to the agent. The Developer Console was instrumental in helping me debug the process and ensure data was flowing correctly. Here’s a snapshot of the webhook setup:

Once I had all the pieces working, I integrated them into a cohesive workflow. The workflow builder on Agent.ai made this incredibly intuitive—it was easy to visualize how data moved through the agent and refine it step by step. Here’s what the final workflow looked like:

Challenges

While the platform is powerful, debugging more complex features like web sockets and advanced Lambda functions was a challenge. The Developer Console is helpful but could be expanded for better error tracking and troubleshooting. Additionally, I found myself wishing for version control, which would have made iterative development easier.

Despite these minor hurdles, the experience of building on Agent.ai was overwhelmingly positive. It’s a platform that feels ahead of its time, and I can see it being a game-changer for automating workflows in the future.

Final Thoughts

Building this agent was a fulfilling experience. Not only did I finally bring to life an idea I’ve had for a long time, but I also got to explore the possibilities of Agent.ai and its incredible tools.

This shopping assistant doesn’t just help users save money—it also encourages sustainable choices by making it easier to buy used items. I’m excited about what this technology can do and can’t wait to see where the world of AI agents goes from here.

Thanks to the agent.ai team for creating such a fantastic platform and for hosting this challenge!

Live Resume: Take your resume online on github pages

Hithesh Reddivari — Sun, 19 Jan 2025 22:29:42 +0000

This is a submission for the GitHub Copilot Challenge: Fresh Starts

What I Built

I developed LiveResume, an innovative application designed to transform traditional resumes into professional, responsive websites hosted on GitHub Pages. This project was built in just 24 hours using AI pair programming, showcasing the power of AI-assisted development in creating functional and elegant solutions swiftly.

Key Features and Functionality

Quick Setup: LiveResume allows users to convert their existing resumes into a professional website in minutes. Whether your resume is in PDF, Word, or Markdown format, the application ensures a seamless conversion process, preserving the original formatting and structure.

Format Flexibility: The application supports multiple input formats, including PDF, Word, and Markdown, providing users with the flexibility to work with their preferred document type. The conversion process is designed to maintain the integrity of the original document, ensuring that all formatting and layout elements are preserved in the final web version.

AI Enhancement: One of the standout features of LiveResume is its AI-powered enhancement capabilities. The application offers content improvement suggestions, helping users refine their resume content for clarity and impact. Additionally, the AI-driven formatting optimization ensures that the final web version of the resume is visually appealing and easy to navigate.

Professional Themes: LiveResume offers a selection of professional themes to cater to different aesthetic preferences. Users can choose from:

Basic: A clean and minimal design that emphasizes simplicity and readability.
Modern: A contemporary and sophisticated layout that incorporates modern design elements.
Terminal: A tech-inspired theme that appeals to those with a penchant for the digital and the futuristic.

Version Control with GitHub Pages: By leveraging GitHub Pages, LiveResume provides users with robust version control capabilities. This integration allows for easy updates and maintenance, ensuring that users can keep their online resumes up-to-date with minimal effort.

Responsive Design: The application is built with responsiveness in mind, ensuring that the final web version of the resume looks great on any device, be it a desktop, tablet, or smartphone. This feature is crucial in today's mobile-first world, where accessibility and user experience are paramount.

To summarize

LiveResume is more than just a resume converter; it's a tool that empowers users to maintain a professional online presence effortlessly. By combining the simplicity of traditional resume formats with the power of modern web technologies, LiveResume offers a unique solution for job seekers and professionals looking to showcase their skills and experience in a visually appealing and accessible manner.

This project not only highlights the capabilities of AI-assisted development but also demonstrates the potential of combining traditional document formats with cutting-edge web technologies to create innovative solutions that address real-world needs.

Demo

LiveResume Online

Repo

GitHub Repository Link

Copilot Experience

My journey with GitHub Copilot Edits was transformative, as it played a pivotal role in developing 99% of my application. The process was akin to having a conversation with an intelligent assistant that could generate code on demand. I embarked on this project by tackling simple tasks first, gradually building complexity as each feature was successfully implemented.

Initially, I focused on converting markdown to HTML, ensuring that the core functionality was robust before moving on to more advanced features. Once the basic conversion was in place, I added rendering capabilities, followed by template selection, chat integration, GitHub authentication, and finally, GitHub Pages deployment. This systematic approach allowed me to build the application step-by-step, ensuring stability and coherence at each stage.

For agent-like capabilities, such as auto code generation, I leveraged the Claude model, while the GPT-4o model was my go-to for debugging. This combination proved effective, and I frequently switched between models whenever I encountered roadblocks, allowing me to resolve issues efficiently.

Once all functionalities were in place, I focused on writing test cases before making final cosmetic changes. Automated tests were crucial in ensuring that I did not inadvertently alter the application's functionality. However, I did encounter some challenges with Copilot Edits, particularly when it made extensive changes in one go. To manage this, I prompted it to "Make few edits and keep the edits focused and short," which helped maintain control over the development process.

An unexpected yet valuable feature was Copilot's ability to generate GitHub commit messages. This saved me considerable time, as it crafted well-articulated commit messages based on the changes made, a task that would otherwise require significant effort on my part.

Overall, GitHub Copilot Edits significantly streamlined the development process, providing both speed and accuracy. Its ability to adapt to my workflow and offer intelligent suggestions made it an indispensable tool in bringing my project to life.

GitHub Models

I utilized GitHub Models to power the "Ask AI" feature within LiveResume. This feature allows users to interact with the application in a conversational manner, asking questions about their resume content and receiving AI-driven suggestions for improvements. By leveraging GitHub Models, I was able to integrate advanced natural language processing capabilities into the app, enhancing user experience and providing personalized feedback. This integration showcases the potential of combining AI models with web applications to deliver intelligent and interactive features.

Conclusion

In today’s fast-changing job market, everyone deserves a fresh start. LiveResume democratizes professional online presence by turning traditional resumes into dynamic, AI-enhanced websites. This empowers individuals to reinvent their professional narratives with ease.

LiveResume goes beyond technical innovation, offering career changers, recent graduates, and industry pivoters a platform to showcase their best selves. AI-driven content enhancement ensures users shine, while professional themes and responsive design deliver their story effectively across devices.

Aligned with the "Fresh Starts" concept, LiveResume breaks technical barriers, enabling anyone to maintain a polished web presence. Built with GitHub Copilot, this project demonstrates how AI can democratize development and empower individuals to seize equal opportunities in their careers.