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1. Self-Driving-Car-with-PPO-RL Self-Driving-Car-with-PPO-RL Public

   A Pygame-based self-driving car simulation using Proximal Policy Optimization (PPO) for autonomous navigation. The car learns to drive on various tracks using deep reinforcement learning.

   Python 2

2. Movie-Recommender-System-RBM Movie-Recommender-System-RBM Public

   A sophisticated movie recommendation system implemented using Restricted Boltzmann Machines (RBM) for collaborative filtering. This project demonstrates how RBMs can learn latent factors from user-…

   Jupyter Notebook

3. Pneumonia-Detection-using-Deep-Learning Pneumonia-Detection-using-Deep-Learning Public

   This project uses transfer learning with VGG16 to detect pneumonia from chest X-ray images. It preprocesses images, freezes the convolutional base, and trains a lightweight classifier on augmented …

   Jupyter Notebook

4. Lung-Cancer-Detection-using-CNN Lung-Cancer-Detection-using-CNN Public

   This project demonstrates how to use Convolutional Neural Networks (CNNs) for the automatic detection of lung cancer from medical images. The implementation is provided in a Jupyter notebook and le…

   Jupyter Notebook

5. ChatterBot-QA-SA ChatterBot-QA-SA Public

   ChatterBot-QA-SA is a Flask-based chatbot using DistilBERT for question-answering and sentiment analysis. It extracts answers from context and classifies sentiment as positive, neutral, or negative…

   CSS

6. Google-Stock-Price-Prediction-using-RNN-LSTM Google-Stock-Price-Prediction-using-RNN-LSTM Public

   This project demonstrates how to build and train a Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM) layers to predict Google stock prices.

   Jupyter Notebook