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mohalkarushikesh/README.md
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👋 Hello, I'm Rushikesh

Welcome to my GitHub profile!
I'm an aspiring and passionate Machine Learning / AI Engineer focused on building intelligent, scalable systems to solve real-world problems.
My interests span Deep Learning, Natural Language Processing (NLP), and Computer Vision.
I enjoy transforming complex ideas into practical, impactful AI solutions that make a difference.

🔍 About Me

  • 🌱 Currently diving deep into Neural Networks and advanced ML research
  • 💼 Experienced in developing, training, and deploying ML models
  • 🎓 Bachelor of Engineering in Electronics and Telecommunication
  • ⚡ Fascinated by challenging datasets and creative ML applications

🛠️ Skills

Languages: Python, C++, Java
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
Frameworks: TensorFlow, Keras, PyTorch, Hugging Face Transformers
Tools & Platforms: Git, Docker, Kubernetes, AWS
Domains: NLP, Computer Vision, Reinforcement Learning, MLOps

📊 GitHub Stats

Profile Details Repos per Language

📈 Contribution Graph

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“Simplicity is the soul of efficiency.” — Austin Freeman

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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 3

  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