"Redis AI Challenge: Redis-Powered AI Grievance Resolver"

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Redis AI Challenge: Real-Time AI Innovators

Here's a complete and polished version of your submission content for the Redis AI Challenge post on DEV:

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

🚀 Redis-Powered AI Grievance Resolver

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

🔥 What I Built

I developed a smart AI-based complaint resolver that uses Redis as the real-time backend and OpenAI for intelligent sentiment analysis. This tool is aimed at students or citizens to file grievances, and for admins to manage them efficiently.

🧠 It categorizes complaints by priority and sentiment, and also finds similar complaints using vector search, making resolution faster and smarter.

✨ Features

📄 Interactive complaint form built in React + Vite
⚡ Real-time backend powered by Redis Stack (Vector Search, JSON, Streams)
🧠 AI Sentiment Analysis via OpenAI GPT
🔍 Semantic Search to find similar past complaints
📥 Caching to reduce repeat AI calls
📡 Pub/Sub (planned) for live alerts to admins
🖥️ Hosted on GitHub Pages

🎯 Use Case

This tool can be used in:

College / School environments
Public service platforms
Feedback dashboards for organizations

✅ Live Demo

👉 Live App

🎥 Demo Video

📹 Watch here on Google Drive

📸 Screenshots

💻 GitHub Repo

👉 GitHub - redis-powered-ai-grievance-resolver

🧠 How I Used Redis 8

🔎 Vector Search: Used to match new complaints with previous ones semantically using Redis's vector capabilities.
🧠 Semantic Caching: Once a complaint's sentiment is processed, it's cached using Redis JSON to prevent redundant AI calls.
📡 Pub/Sub (Planned): For future live admin alerts when high-priority complaints arrive.
📁 RedisJSON: To store all complaint data in structured format.
📊 Real-Time Dashboards (Future scope): Could be implemented using Redis Streams + Charts.