M.Mohamed Afzal

About

B.Tech Information Technology graduate with a strong foundation in Python, Artificial Intelligence, Machine Learning, and software development. Has hands-on experience building AI/ML and full-stack applications, with exposure to CNN-based solutions, robotics, and automation.

Education

• B.Tech in Information Technology
  Kalasalingam Academy of Research and Education
  Information Technology · 2022 – 2026

Skills

• Artificial intelligence <3 months
• CSS <3 months
• Cloud Computing <3 months
• HTML <3 months
• Automation <3 months
• Blockchain <3 months
• Python <3 months
• Machine Learning <3 months
• Java <3 months
• JavaScript <3 months
• Dart <3 months
• Flutter <3 months
• CNN (Convolutional Neural Network) <3 months
• Robotics <3 months
• Cryptocurrency <3 months

Tools / apps / platforms

• Git <3 months
• GitHub <3 months
• Raspberry Pi <3 months
• VS Code <3 months

Projects

• RAVEN – Personal AI Assistant
  Python, Artificial Intelligence, Voice Interaction, Automation

  Developing a personal AI assistant for voice-controlled computer interaction and task automation. Implementing voice-based application launching, web search, and computer control capabilities.

• Clothes Price Prediction
  Python, Machine Learning, Web Development

  Developed a web-based machine learning application for predicting clothing prices from relevant product attributes. Applied data-driven techniques to process clothing features and generate price predictions.

• Real-Time Diabetic Foot Ulcer Detection System
  Raspberry Pi, STM32, Python, OpenCV, TensorFlow, FLIR AX8

  Developed a real-time diagnostic system using thermal imaging and embedded AI for early diabetic foot ulcer detection. Implemented radiometric temperature extraction and angiosome-based analysis to identify abnormal temperature patterns. Synchronized severity classification via UART with an STM32 display for real-time clinical monitoring.

• HealthGuard AI – Unified Animal Disease Prediction Platform
  Python, TensorFlow, OpenCV, Flask, NumPy

  Developed an AI-based web platform for animal disease prediction using symptom-based and image-based analysis. Implemented machine learning and CNN-based image classification for animal disease prediction from symptoms and images. Integrated AI models with a Flask backend to process inputs and deliver prediction results through the web application.

• Scalable Online Auction Website
  MongoDB, Express.js, React.js, Node.js (MERN)

  Developed a scalable full-stack auction platform using the MERN stack for product listings, bidding, and user interactions. Implemented product management and auction functionality using React.js frontend with Node.js and Express.js backend.

Courses & certifications

• One Health · NPTEL
• Forests and their Management · NPTEL
• Wild Life Ecology · NPTEL
• Python for Data Science, AI and Development · IBM
• Web Development with HTML, CSS, JavaScript · IBM
• Getting Started with Git and GitHub · IBM
• Introduction to Cloud Computing · IBM

📚 Publications

• Online Auction Website · 2025