AI-Powered Product Review Analysis & RAG Engine
Turn thousands of noisy reviews into instant, actionable insights with Semantic Search and AI Summarization.
Shopping online is overwhelming. Digging through thousands of reviews to figure out if a product's battery actually lasts or if the seller is legitimate takes hours.
ReviewLens solves this. With an elegant Next.js dashboard, a FastAPI AI brain, and a seamless Chrome Extension, ReviewLens reads the reviews for you. It extracts pros and cons, detects fake reviews, analyzes sentiment by feature, and even lets you chat with the reviews using our RAG (Retrieval-Augmented Generation) engine.
Stop guessing keywords. Ask natural questions like "How is the battery life after a year?" or "Is the screen good for gaming?" Our FAISS-powered vector search finds the exact context across thousands of reviews and generates a precise answer using Groq LLM.
Just paste any Amazon or Flipkart URL. ReviewLens seamlessly scrapes the product page, analyzes the extracted reviews, and generates a beautiful dashboard of insights. If a site uses heavy JavaScript blocking, the backend fails over gracefully to smart LLM-based product heuristics.
Don't just look at the average rating. ReviewLens automatically identifies key product features (e.g., Battery, Performance, Display) and rates the sentiment specifically for those features.
Shop safely. Our heuristic engine flags suspicious review patterns, generic phrasing, and massive sentiment outliers.
A companion tool that detects product pages on eCommerce sites. Click the floating magic button to instantly jump to a deep-dive analysis of that exact product.
| Section | Technologies |
|---|---|
| Backend (The Brain) | 🐍 FastAPI, 🔍 FAISS, 🧠 Groq LLM, 📊 Sentence-Transformers, 📝 TextBlob, 🐼 Pandas |
| Frontend (The UI) | ⚡ Next.js 14, 📘 TypeScript, 🎨 Tailwind CSS, 📈 Chart.js |
| Extension (The Bridge) | 🧩 Manifest V3, 📜 Vanilla JS (Service Workers & Content Scripts) |
Get ReviewLens running locally in minutes.
git clone https://github.com/yourusername/ReviewLens.git
cd ReviewLens
# Install Python dependencies in the root environment
pip install -r backend/requirements.txt
# Create your .env file
echo "GROQ_API_KEY=your_api_key_here" > backend/.env
# Start the AI Backend
cd backend
python -m uvicorn main:app --reload --port 8000The API will be live at http://localhost:8000
# Open a new terminal
cd ReviewLens/frontend
# Install dependencies
npm install
# Start the stunning Next.js UI
npm run devThe Dashboard will be live at http://localhost:3000
- Open Chrome and navigate to
chrome://extensions/ - Toggle on Developer mode in the top right corner.
- Click Load unpacked and select the
/chrome-extensiondirectory from the cloned repo. - Open an Amazon/Flipkart product page to see the magic widget!
ReviewLens/
├── 🧠 backend/
│ ├── routes/ # Fast API endpoints (/analyze-url, /rag)
│ ├── services/ # AI, FAISS, Scraping, LLM orchestrators
│ └── models/ # Pydantic validation schemas
│
├── 💻 frontend/
│ ├── app/ # Next.js 14 App Router (Dashboard, Analyze)
│ ├── components/ # Sleek, glassmorphism UI parts
│ └── lib/ # API clients & TypeScript definition types
│
├── 🧩 chrome-extension/ # MV3 Service Workers & Content injection
│
└── 📄 README.md # You are here!
