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vmc6433/README.md

Hi, I'm Vinayak Chetale πŸ‘‹

Artificial Intelligence Engineering Student | Aspiring AI/ML Engineer

I'm pursuing a B.Tech in Artificial Intelligence at G H Raisoni College of Engineering and Management, Nagpur, India.

I'm passionate about Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, and intelligent automation. I enjoy developing practical projects that combine AI models, software development, and real-world hardware.

My goal is to strengthen my engineering fundamentals and build impactful AI-driven solutions.


πŸš€ Featured Project

♻️ AI-Powered Smart Waste Segregation System

An intelligent waste management system that uses computer vision and deep learning to classify waste into four categories and automate physical segregation.

Project Highlights:

  • Model: EfficientNet-B0
  • Framework: PyTorch
  • Dataset: 15,110 images across four categories
  • Test Accuracy: 97.44%
  • Macro F1-score: 96.82%
  • Test Results: 2,208 correct predictions out of 2,266 images
  • Hardware: Raspberry Pi 5, Arduino UNO, Servo Motor, NEMA 17 Stepper Motor
  • Classification: Plastic, E-Waste, Organic, and Recyclable

πŸ”— View Source Code on GitHub

πŸŽ₯ Watch Project Demonstration


πŸ› οΈ Technical Skills

Programming Languages

  • Python

Artificial Intelligence & Machine Learning

  • Machine Learning
  • Deep Learning
  • Transfer Learning
  • EfficientNet-B0
  • PyTorch

Computer Vision

  • OpenCV

Databases

  • MongoDB

Hardware & Embedded Systems

  • Raspberry Pi
  • Arduino UNO

Development Tools

  • Git
  • GitHub
  • Visual Studio Code

πŸŽ“ Education

Bachelor of Technology (B.Tech) β€” Artificial Intelligence

G H Raisoni College of Engineering and Management, Nagpur

Expected Graduation: 2027


🌱 Currently Learning

  • Python programming and problem-solving
  • Mathematics for Machine Learning
  • Data Structures and Algorithms using Python
  • Machine Learning and Deep Learning
  • Software development and engineering fundamentals

🀝 Connect With Me


Learning continuously, building practical projects, and growing as an AI engineer.

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  1. AI-Smart-Waste-Segregation-System AI-Smart-Waste-Segregation-System Public

    AI-powered smart waste segregation system using EfficientNet-B0, computer vision, Raspberry Pi 5 and Arduino UNO for automated four-category waste sorting.

    Python