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krishang118/README.md

Hi, I'm Krishang!

I build AI/ML systems, data-driven solutions, and full-stack apps, focused on real-world use.

Feel free to explore my repositories or reach out for collaboration.

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  1. NyayaAI NyayaAI Public

    A comprehensive hybrid neuro-symbolic AI intelligence system for Indian law integrating cases, statutory knowledge graphs, graph attention transformers, and LLM-based reasoning for legal research.

    Jupyter Notebook

  2. AutoResearcher AutoResearcher Public

    A local-first AI research agent automating literature review via n8n/Streamlit orchestration, covering arXiv and Semantic Scholar for gap identification and novel LLM-powered scaffold generation.

    Python

  3. MLOps-Stock-Predictor-Pipeline MLOps-Stock-Predictor-Pipeline Public

    A scalable end-to-end MLOps pipeline for stock market prediction with automated data ingestion, multi-model training, DVC versioning, FastAPI/Docker deployment on Render, and GitHub Actions CI/CD w…

    Python

  4. Uncertainty-Aware-RUL-Prediction Uncertainty-Aware-RUL-Prediction Public

    A novel uncertainty-aware deep learning framework for turbofan RUL prediction with breakthrough 5–7 cycle critical zone RMSE and Bayesian confidence intervals on NASA CMAPSS.

    Jupyter Notebook 2

  5. VERIRAG VERIRAG Public

    A smart self-disagreement-aware RAG system that detects conflicting evidence, visualizes perspectives, and calibrates confidence scores for reliable conclusions.

    Jupyter Notebook

  6. ADAS-System ADAS-System Public

    A real-time ADAS system integrating 8 safety modules including lane detection, FCW, and drowsiness monitoring using PyTorch, YOLO, UNet, and MediaPipe, trained on ~160 GB datasets with a Streamlit UI.

    Python