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Year
2024
Tech & Technique
FastAPI, Python, React.js, Redis, Celery, BeautifulSoup4, Chart.js, Vite
Description
Comprehensive full-stack application for analyzing e-commerce product reviews using AI-powered sentiment analysis and providing data-driven shopping insights through interactive dashboards.
Key Features:
Technical Highlights:
Key Features:
- 🤖 AI-Powered Analysis: Advanced sentiment analysis of product reviews
- 📊 Interactive Dashboards: Real-time data visualization with Chart.js
- � Smart Review Scraping: Automated data collection with BeautifulSoup4
- ⚡ Real-time Processing: Background task processing with Celery
- � High Performance: Redis caching for optimal speed
- 📱 Responsive Design: Modern React frontend with Vite
Technical Highlights:
- Built scalable FastAPI backend with async processing
- Implemented efficient caching strategies with Redis
- Developed reusable React components for data visualization
- Integrated ML models for accurate sentiment analysis
My Role
Full-Stack Developer & System Architect
Complete ownership of the development process:
Complete ownership of the development process:
- ⚙️ Backend: FastAPI with Python, Redis integration, Celery task queue
- 🎨 Frontend: React.js with Vite, Chart.js for visualizations
- 🔄 Data Processing: Web scraping pipeline with sentiment analysis
- � Performance: Caching strategies and async processing
- 🏗️ Architecture: Microservices approach with scalable design
- � AI Integration: Machine learning models for review analysis