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1. Predictive-Maintenance-of-Aircraft-Engines-Machine-Learning-Approaches-for-RUL Predictive-Maintenance-of-Aircraft-Engines-Machine-Learning-Approaches-for-RUL Public

   IEEE Published | ML model for Aircraft Engine RUL prediction using XGBoost & Random Forest on NASA C-MAPSS dataset. RMSE: 23.8, R²: 0.67. Flask web app + PostgreSQL. ICMCSI 2025 (Paper ID: ICMCSI-472)

   Jupyter Notebook 1

2. Ecommerce-Shipping-Prediction-Using-Machine-Learning Ecommerce-Shipping-Prediction-Using-Machine-Learning Public

   SMARTBRIDGE Externship | ML model for E-commerce shipment delay prediction using Scikit-learn. Improved accuracy from 76% to 82% with feature engineering, model training & Agile ML workflows.

   Jupyter Notebook

3. potato-disease-classification potato-disease-classification Public

   CNN-based model to detect & classify potato leaf diseases using TensorFlow/Keras. Includes data augmentation, OpenCV feature extraction, and hyperparameter tuning for optimized accuracy.

   Jupyter Notebook

4. Talk-to-Database-BOT Talk-to-Database-BOT Public

   LLM-powered natural language interface for databases using LangChain, Google PaLM & Streamlit. Query SQL databases in plain English via vector embeddings & semantic search. No SQL knowledge required.

   Jupyter Notebook

5. Enhanced-Ecommerce-Search-and-Recommendation-Engine Enhanced-Ecommerce-Search-and-Recommendation-Engine Public

   E-commerce search & recommendation engine with semantic search, vector embeddings, and collaborative filtering. Combines NLP and ML to deliver personalized product recommendations.

   Jupyter Notebook