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1. Blockchain-Federated Blockchain-Federated Public

   A decentralized AI framework integrating Blockchain and Federated Learning for secure, privacy-preserving model training. Implemented with FastAPI and Flower on MNIST and California Housing datasets.

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2. Election_Insight Election_Insight Public

   An analysis of Indian state election data (2008-2023) focusing on female participation and NOTA vote trends, using EDA and machine learning models like Gradient Boosting and Random Forest.

   Jupyter Notebook 1

3. Interior_Designing_DB Interior_Designing_DB Public

   This project presents a comprehensive database design for an interior designing ecosystem. It covers the entire lifecycle, from initial requirement gathering (SRS) and conceptual modeling (ER Diagr…

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4. RUL_prediction RUL_prediction Public

   This project is an end-to-end MLOps pipeline to predict the Remaining Useful Life (RUL) of aircraft engines using the NASA C-MAPSS dataset. It automates the entire machine learning workflow, from d…

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5. Doc_Math_QA Doc_Math_QA Public

   This project is a comprehensive system that processes PDF documents containing mathematical content and text, then allows users to ask questions about the content using advanced AI models. It is de…

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6. Housing_Data_MLflow Housing_Data_MLflow Public

   Compares Random Forest vs. XGBoost for California housing price prediction, using MLflow for end-to-end experiment tracking, hyperparameter tuning, and model logging.

   Jupyter Notebook