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siddharth-narigra/README.md

Siddharth Narigra

Final-year Computer Engineering student focused on Machine Learning and Computer Vision.
I build data-driven systems, real-time detection pipelines, and explainable ML workflows using Python.

What I work on

  • Real-time computer vision systems (YOLOv5, OpenCV, CPU-optimized pipelines)
  • End-to-end ML workflows: data cleaning, training, evaluation, deployment
  • Explainable ML and automation using multi-agent systems
  • Practical engineering with real datasets and measurable performance

Pinned Loading

  1. crewai-eda-pipeline crewai-eda-pipeline Public

    Multi-agent EDA pipeline with automated data cleaning, visualization, and XAI explanations.

    Python

  2. face-mask-detection face-mask-detection Public

    YOLOv5-based face mask detection with 89.4% mAP. Supports image, video & webcam inputs with smooth bounding box tracking. Streamlit UI.

    Python

  3. realtime-glass-detection realtime-glass-detection Public

    Real-time eyeglass detection using edge density analysis and MTCNN, no deep learning classifiers needed

    Python

  4. collectible-card-generator collectible-card-generator Public

    Generate custom trading card games

    Python

  5. meeting-task-assignment meeting-task-assignment Public

    CLI tool to extract and assign tasks from meeting audio using Whisper STT and rule-based NLP

    Python