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1. Energy-Consumption-Prediction Energy-Consumption-Prediction Public

   This project explores energy consumption prediction using machine learning techniques such as Random Forest, with a focus on data preprocessing, feature engineering, and model evaluation.

   Jupyter Notebook 2

2. Intellistock Intellistock Public

   IntelliStock is an intelligent, hybrid inventory management system that combines the power of deep learning-based time series forecasting (LSTM/BiLSTM) with real-time computer vision (YOLOv8) to au…

   Python 2

3. Waste-Management Waste-Management Public

   This project uses **Machine Learning + Image Processing** to automatically classify waste as: - 🟢 **Biodegradable** - 🔵 **Non-Biodegradable**

   Python 2

4. Astrophysical-Object-Classification Astrophysical-Object-Classification Public

   Star Classification using Random Forest (SDSS Dataset)

   Jupyter Notebook 2

5. Explainable-Noise--Resilient-Quantum-Machine-Learning-in-Life-Science-Domain-using-Breast-Cancer Explainable-Noise--Resilient-Quantum-Machine-Learning-in-Life-Science-Domain-using-Breast-Cancer Public

   Hybrid Classical–Quantum Neural Network for breast cancer detection from mammograms using DenseNet121 and Variational Quantum Circuits with noise robustness analysis.

   Jupyter Notebook 2

6. Automotive-Knowledge-Assistant-RAG-Query-Automotive-Manuals-with-LLMs Automotive-Knowledge-Assistant-RAG-Query-Automotive-Manuals-with-LLMs Public

   Automotive Knowledge Assistant is a Retrieval-Augmented Generation (RAG) system that enables engineers to query automotive manuals and technical documents efficiently. It uses PyPDF for ingestion, …

   Python 2