This ReadWise leverages Machine Learning and AI to provide personalized suggestions based on user behavior and preferences. Whether you're looking for bestsellers, classics, or niche genres, this system enhances the reading experience by delivering accurate and dynamic recommendations.
✅ User-Based & Item-Based Recommendations – Personalized suggestions tailored to user interactions.
📊 Collaborative & Content-Based Filtering – Smart analysis for better accuracy.
⚡ Real-Time Data Processing – Scalable and efficient recommendation engine.
📈 AI-Driven Insights – Machine learning models for predictive analytics.
🛠️ Customizable Algorithms – Easily adaptable to different datasets and use cases.
- 🧠 Scikit-learn – ML algorithms for recommendation models.
- 📡 TensorFlow & Keras – Deep learning-based recommendations.
- 📊 Pandas & NumPy – Data manipulation and analysis.
- 🛠 Flask – Lightweight API for serving recommendations.
- 🔗 REST API – Connects with web apps for seamless integration.
- 🚀 FastAPI (Future Upgrade) – High-performance recommendation engine.
- 📚 SQLite / PostgreSQL – Efficient storage of user interactions.
- 🔍 Cosine Similarity & Matrix Factorization – Optimized for recommendation accuracy.
- 1️⃣ Clone the repository Click here
- 2️⃣ Navigate to the project directory
- 3️⃣ Install dependencies
- npm install
- 4️⃣ Run the development server
- 5️⃣ Open the app in your browser Click here