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Bhavya1604/README.md

Hi there, I'm Bhavya Mehta

Results-driven developer with a focus on AI/ML, computer vision, and embedded systems. Currentlycontributing to ongoing research in medical imaging through the Nephrometry Scoring System andworking on the DeepForest double counting detection project. Experienced in building efficient, data-driven systems that combine intelligent software with real-world hardware.

What I’m Currently Working On

  • Nephrometry Scoring System – AI-assisted system for scoring kidney tumor complexity (final-year project)
  • DeepForest Double Counting – Deep learning project for accurate tree detection and avoiding double counting
  • Self-Driving Car Prototype – Autonomous navigation using Raspberry Pi, Arduino & AI

Skills & Tech Stack

  • Languages: Python, Java (with OOPs), JavaScript, MATLAB, SQLDeveloper
  • Tools: VS Code, Git, Jupyter Notebook, Arduino IDE, Raspberry Pi OS
  • Technologies & Frameworks: TensorFlow, Keras, Scikit-learn, OpenCV, FastAPI, Flask, DonkeyCar,DeepForest, Langchain, Linux
  • Emedded Systems & Hardware: Raspberry Pi, Arduino, Pi Camera, Ultrasonic Sensors, Motor Drivers,Joystick, Servo MotorsNephrometry

Let's Connect!

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  1. Real-Time-Football-Player-Re-Identification Real-Time-Football-Player-Re-Identification Public

    Real-time football player detection and re-identification using YOLOv11 + OSNet to keep consistent IDs across frames.

    Python

  2. weecology/DeepForest weecology/DeepForest Public

    Python Package for Airborne RGB machine learning

    Python 688 229