Deep Learning Projects

A collection of deep learning projects showcasing neural networks, NLP, and advanced AI techniques.

📁 Current Projects

1. Advanced RAG Pipeline with Reranking

Retrieval-augmented generation system with semantic reranking using CrossEncoder and Groq API.

2. Neural Networks

Implementations of AlexNet, CNN, FNN, RNN, and LSTM architectures with datasets (CIFAR-10, MNIST).

3. RNN-LSTM Sentiment Analyzer

Full-stack web app for sentiment analysis with Flask backend, HTML/JS frontend, and dual model comparison.

---

🚀 Quick Start

Installation

git clone <repository-url>
cd Deep-Learning
pip install tensorflow keras numpy scikit-learn flask flask-cors sentence-transformers groq

Running Projects

RAG Pipeline:

cd Advanced-RAG-Pipeline-with-Reranking && python main.py

Neural Networks:

cd Neural-Networks && jupyter notebook

Sentiment Analyzer:

cd RNN-LSTM-Sentiment-Analyzer/backend && python app.py
# Then open frontend/index.html in browser

---

📝 Key Features

✅ Multiple architectures - CNN, RNN, LSTM, FNN
✅ Full-stack application - Backend API + frontend interface
✅ Advanced NLP - RAG with semantic reranking
✅ Pre-trained models - Ready-to-use weights
✅ Jupyter & Python - Both formats available

---

🚧 Coming Soon

More projects are in development:

• Transformer Models - BERT, GPT implementations
• Computer Vision - Object detection, image segmentation
• Time Series - ARIMA, Prophet forecasting
• Generative Models - VAE, GAN architectures
• Reinforcement Learning - Q-Learning, Policy Gradient
• And much more...

Stay tuned! 🎯

---

📄 License

MIT License - Open source

Last Updated: May 2026