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1. Corrective-RAG Corrective-RAG Public

   A self-correcting Agentic RAG pipeline with MongoDB Vector Search, built to run entirely on constrained local hardware.

   Python 1

2. Unsupervised-Anomaly-Detection-in-Suspicious-Web-Traffic-Using-Autoencoders Unsupervised-Anomaly-Detection-in-Suspicious-Web-Traffic-Using-Autoencoders Public

   This project focuses on building an autoencoder-based anomaly detection model to learn latent patterns in malicious web traffic. The dataset provided contains only attack traffic, with no examples …

   Jupyter Notebook 1

3. Dynamic-Pricing-Causal-Engine Dynamic-Pricing-Causal-Engine Public

   An enterprise-grade Causal Inference API for dynamic pricing, featuring Double Machine Learning and k-Anonymity privacy architectures.

   Python 1

4. demand-intelligence-system demand-intelligence-system Public

   An end-to-end production-style machine learning system for forecasting retail demand using dynamic feature engineering, asynchronous external data integration, and real-time inference.

   Jupyter Notebook

5. YouTube-Comment-Sentiment-Emotion-Topic-Analysis YouTube-Comment-Sentiment-Emotion-Topic-Analysis Public

   This project analyzes YouTube comments to extract insights about audience sentiment, emotions, sarcasm, and discussion topics. The pipeline combines text preprocessing, sentiment analysis, sarcasm …

   Jupyter Notebook