LeaseGuard: Real-time AI for Lease Risk Detection powered by Redis

Rajiv — Sun, 10 Aug 2025 18:33:56 +0000

This is a submission for the Redis AI Challenge: Real-Time AI Innovators.

What I Built

LeaseGuard analyzes residential lease agreements in real time to flag risky or unlawful clauses. It isn’t a chatbot wrapper; it’s an AI application with Redis as the real-time data layer:

Vectorized clauses stored in RedisJSON, indexed with RediSearch for KNN and hybrid retrieval
Two-tier semantic caching to cut LLM calls and latency
Event-driven pipeline and collaboration powered by Redis Streams and Pub/Sub
Conversation/session state fully in Redis structures (Lists/Sets/JSON), with optional TimeSeries

Outcome: sub-second retrieval, grounded answers, and live telemetry/alerts.

Demo

Live App

How I Used Redis 8

Vector index (RediSearch over RedisJSON)

Storing clauses in RedisJSON with embeddings

Violation detection via vector similarity (KNN)

Hybrid search (text + vector + filters) with RediSearch

Semantic caching (L1 memory + L2 RedisJSON + similarity fallback)

Streams (event sourcing + pipeline telemetry)

Pub/Sub (violation alerts and collaboration)

Conversation state in Redis (Lists + TTL)

Optional TimeSeries (performance/analytics where supported)

Real-Time AI Innovators: I went beyond a chatbot by combining vector search, semantic caching, streams, and pub/sub to accelerate AI.
Beyond the Cache: I use Redis as a multi‑model platform: JSON as primary store, RediSearch for hybrid vector, TimeSeries for analytics, Streams for event sourcing, Lists/Sets for session and UX, Pub/Sub for real-time collaboration.

Thanks for Reading!

GitHub repo

Manga-Fy 90's style with Google Ai Studio!

Rajiv — Fri, 04 Jul 2025 15:51:00 +0000

This post is my submission for DEV Education Track: Build Apps with Google AI Studio.

What I Built
I built Manga-fy 90s, a web app that turns text prompts or uploaded photos into 1990s style manga images using Google’s Imagen API and Gemini SDKs. The app mimics the aesthetic of classic black and white Japanese manga with halftone shading, bold linework, and no digital color.

The core prompt I used in AI Studio:

“Please create an app that generates 90s manga-style images from user prompts or uploaded photos. Use React with TypeScript, integrate Imagen, and follow modern UI best practices.”

Demo

My Experience
I built this app in under 30 minutes using Google AI Studio and that's no exaggeration. The platform handled everything from model integration to output formatting. I simply described what I wanted, and the app scaffolded itself around my intent.

What impressed me:

The natural language prompt to app workflow actually worked
Seamless integration of React + TypeScript with Gemini and Imagen
High quality, stylized output with minimal setup
This felt like AI-assisted development done right. It was fast, creative, and developer-friendly.

I'll definitely try building more with Google A.I studio.
Github: Manga-Fy 90's

Forem: Rajiv