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1. Fraud-Detection Fraud-Detection Public

   Fraud Detection using Machine Learning to identify fraudulent transactions and support real-time risk assessment through data analysis, predictive modeling, and interactive visualizations.

   Jupyter Notebook 1

2. Production-RAG Production-RAG Public

   Production-ready Retrieval-Augmented Generation (RAG) system focused on monitoring, observability, evaluation, and reliability using LangChain, LangSmith, vector databases, and LLMOps best practices.

   Python 1

3. Credit-Risk-Modeling Credit-Risk-Modeling Public

   Credit Risk Prediction using Machine Learning and the German Credit Dataset. Built an Extra Trees Classifier and deployed it with Streamlit to predict customer creditworthiness and support lending …

   Jupyter Notebook 1

4. ProductionGrade-RAG ProductionGrade-RAG Public

   A practical playground for learning and experimenting with multiple production-oriented RAG architectures and implementation patterns.

   Python 1

5. Demand-Forecasting Demand-Forecasting Public

   Demand Forecasting using Time Series Analysis and Machine Learning to predict future sales demand and support inventory planning and business decision-making through an interactive Streamlit applic…

   Jupyter Notebook 1

6. Multimodel-RAG Multimodel-RAG Public

   Multimodal Retrieval-Augmented Generation (RAG) system for processing PDFs containing text and images using LangChain, LlamaIndex, and multimodal embeddings to generate context-aware responses.

   Python 1