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vinay-852/README.md

Hi, I'm Vinay Pepakayala 👋

AI & ML Enthusiast | ECE @ NIT Raipur | Passionate Developer

Portfolio Badge

🔍 About Me

name: Vinay Pepakayala
institution: NIT Raipur
branch: Electronics and Communication Engineering
cgpa: 8.24 / 10
roles:
  - AI Intern @ TechSaksham
  - Research Intern @ NIT Warangal
focus:
  - Deep Learning
  - Edge AI
  - Prompt Engineering
  - Vision Transformers
  - Generative Models
  • 💻 I love building AI-driven apps, from face recognition to image captioning
  • 🤖 I'm fascinated by LLMs, tokenizers, and transformers
  • 🌐 Currently exploring multi-agent systems and autonomous technologies

💼 Experience

Role Description
👨‍💻 AI Intern
TechSaksham (Microsoft & SAP)		 Built a face recognition attendance system using OpenCV + Streamlit
🧪 Research Intern
NIT Warangal		 Designed real-time DL models for autonomous driving & edge devices

🛠 Tech Stack

🚀 Featured Projects

🧠 Face Recognition System
Mark attendance using facial data
🖼️ Image Captioning
ViT + GPT-2 for descriptive captions
🎮 Gaming vs Gambling
ML model classifies Play Store apps
💊 MediTracker
Web app for managing medicine schedules

📍 Explore all my projects at: vinay-852.github.io
🚩 Check out my portfolio: vnaye.github.io

📈 GitHub Stats

🎯 Goals

  • 🔬 Advance into cutting-edge AI research
  • 🔄 Build real-time and multi-modal AI systems
  • 🌱 Collaborate and contribute to open-source AI tools

🌐 Connect with Me

🎮 Hobbies & Interests

  • 🌏 Traveling & Cultural Discovery
  • 👨‍💻 Building Side Projects
  • 📚 Reading about AI + Fiction
  • 🕹️ Strategy & Puzzle Games

⭐ Thank you for visiting my profile! Feel free to explore my repos and drop a ⭐ on anything you like.

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  1. Image_Captioning Image_Captioning Public

    This project implements an Image Captioning system that generates natural language descriptions for images, leveraging a Vision Transformer (ViT) as the encoder and GPT-2 as the decoder.

    Python

  2. Face_Recognition Face_Recognition Public

    This project is an Attendance Management System that uses facial recognition to mark attendance. It is built using OpenCV, Streamlit, and other Python libraries.

    Python

  3. Dehazing Dehazing Public

    Developed a model using ResNet to remove atmospheric haze from images by learning residual features.

    Jupyter Notebook

  4. Video_Synopsis Video_Synopsis Public

    This repository provides a comprehensive toolkit designed for efficient video processing and analysis, specifically tailored for surveillance applications. The toolkit includes features such as bac…

    Jupyter Notebook 1

  5. Steering_Angle_Prediction Steering_Angle_Prediction Public

    Steering Angle Prediction Using Spatial Pyramid Pooling and ResNet with Transfer Learning from dash camera images using advanced deep learning techniques.

    Python 1

  6. MediTracker-FrontEnd MediTracker-FrontEnd Public

    MediTracker is a web application that assists users in managing their medication schedules and logging their medicine intake. It features an intuitive interface for scheduling, logging, and viewing…

    JavaScript