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Yoshi1710/README.md

Hi, I'm Deepak Bisht πŸ‘‹

AI/ML Student | Machine Learning | Computer Vision | Generative AI

I'm a Computer Science & Engineering (AI/ML) student interested in building practical AI and Machine Learning systems.

I enjoy working on projects involving:

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Generative AI
  • Backend APIs
  • Model Deployment

πŸš€ Featured Projects

🩻 X-Ray Abnormality Detector

Deep Learning application for detecting abnormalities in musculoskeletal X-ray images using DenseNet121 Transfer Learning and Grad-CAM.

πŸ”— Live Demo πŸ”— Repository


πŸ• Food Delivery ETA Prediction

Machine Learning system for estimating food delivery time using geospatial, weather and delivery-related features.

πŸ”— Live Demo πŸ”— Repository


πŸ€– Autonomous SRE Swarm AI

AI-powered multi-agent system exploring automated debugging, root-cause analysis, code patching and verification.

πŸ”— Live Demo πŸ”— Repository

πŸ› οΈ Tech Stack

Programming

Python | SQL

Machine Learning & Deep Learning

Scikit-Learn | TensorFlow | Keras | CNN | Transfer Learning | OpenCV

Generative AI

LangGraph | LangChain | RAG | ChromaDB | Gemini API | Prompt Engineering

Backend & Deployment

FastAPI | REST APIs | Streamlit | Render | Git | GitHub

Data

Pandas | NumPy | Matplotlib

πŸ“š Currently Learning

Machine Learning fundamentals, Deep Learning, Computer Vision, Generative AI, RAG systems and AI application deployment.

πŸ“« Connect

Pinned Loading

  1. SRE-SWARM_AI SRE-SWARM_AI Public

    Autonomous multi-agent AI system for automated debugging, root-cause analysis, code patching and verification.

    Python 1

  2. food-delivery-time-prediction food-delivery-time-prediction Public

    End-to-end Machine Learning system for food delivery ETA prediction with geospatial features, real-world routing and FastAPI deployment.

    HTML 1

  3. mura-abnormality-detector mura-abnormality-detector Public

    Deep Learning and Computer Vision application for musculoskeletal X-ray abnormality detection using DenseNet121 and Grad-CAM.

    Jupyter Notebook 1