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Focus on today’s code; every small fix builds a stronger developer tomorrow.
🎯
Focus on today’s code; every small fix builds a stronger developer tomorrow.
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TejDabhi/README.md

Tej Dabhi

Typing Animation

🤖 Python AI/ML Intern

Building practical Machine Learning, Computer Vision, Data Analysis and Streamlit-based AI applications.

Portfolio GitHub LinkedIn

👨‍💻 About Me

  • 🎓 Computer Engineering Student
  • 🎉 Selected at Shine Infosoft
  • 🤖 AI/ML Enthusiast
  • 🐍 Python Developer
  • 📊 Interested in Machine Learning, Data Analysis and Computer Vision
  • 🚀 Building real-world AI/ML projects with Streamlit deployment
  • 🌱 Currently learning Advanced Machine Learning, Deep Learning and Model Deployment
  • 💡 Focused on creating practical and user-friendly AI-powered applications
  • ⚡ Fun Fact: I enjoy converting ideas into working AI solutions

🏆 Latest Achievement

🎉 Selected at Shine Infosoft

I am happy to share that I have been selected at Shine Infosoft.

This opportunity represents an important milestone in my professional journey and will help me strengthen my technical knowledge, practical development skills and understanding of real-world software projects.

🛠️ Tech Stack

Programming Language

Python

AI and Machine Learning

Machine Learning Scikit Learn TensorFlow Keras

Data Analysis

Pandas NumPy Data Visualization

Computer Vision

OpenCV

Application Development and Deployment

Streamlit

Database and Development Tools

SQL MySQL Git GitHub VS Code

🚀 Featured AI/ML Projects

💻 Laptop Price Predictor

Built a machine learning-based laptop price prediction application that predicts laptop prices based on features such as brand, RAM, CPU, GPU, storage, screen resolution, operating system and weight.

Tech Used: Python, Pandas, NumPy, Scikit-learn, Regression Model and Streamlit

🔗 Live Application: https://tej-laptop-price-predictor.streamlit.app/

😷 Face Mask Detection System

Developed a computer vision application that detects faces and classifies whether a person is wearing a face mask using an image-based prediction workflow.

Tech Used: Python, OpenCV, TensorFlow, Keras, NumPy and Streamlit

🔗 Live Application: https://face-mask-detection-tej.streamlit.app/

🏅 Olympic Data Analysis Dashboard

Created an interactive analytics dashboard to explore Olympic data using filters, data visualisation and insights related to medal trends, athletes, countries, sports and historical performance.

Tech Used: Python, Pandas, Data Visualisation and Streamlit

🔗 Live Application: https://olympic-app-tej.streamlit.app/

🎯 AI/ML Focus Areas

  • Supervised Learning
  • Regression Models
  • Classification Models
  • Data Cleaning and Preprocessing
  • Exploratory Data Analysis
  • Feature Engineering
  • Model Evaluation
  • Computer Vision
  • Image Classification
  • Deep Learning
  • Data Visualisation
  • Streamlit Application Development
  • End-to-End Machine Learning Projects
  • Machine Learning Model Deployment

📚 Currently Learning

  • Advanced Machine Learning
  • Deep Learning Fundamentals
  • Neural Networks
  • Natural Language Processing
  • Model Optimisation
  • API Integration
  • Cloud Deployment
  • Production-ready AI Applications

📊 GitHub Statistics

GitHub Profile Details

Repositories Per Language Most Committed Language

GitHub Statistics GitHub Productive Time

📈 Contribution Graph

GitHub Contribution Graph

🌐 Connect With Me

LinkedIn Portfolio GitHub Email

👀 Profile Views

Profile Views

Thanks for visiting my GitHub profile!

Open to learning opportunities, AI/ML projects and professional collaborations.

Last updated: 1 July 2026

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  1. TejDabhi.github.io TejDabhi.github.io Public

    🌐 A personal portfolio website built with HTML, CSS, and JavaScript, showcasing projects, skills, and developer information with a clean and responsive design.

    HTML 1

  2. Basic-Mern-Stack-Projects Basic-Mern-Stack-Projects Public

    # 💻 Basic MERN Stack Projects A collection of beginner-friendly MERN Stack projects built using MongoDB, Express.js, React.js, and Node.js. These projects demonstrate full-stack development concept…

    JavaScript 1

  3. liveblocks_figma_clone liveblocks_figma_clone Public

    🎨 A real-time collaborative Figma clone built with Next.js and Liveblocks, featuring live cursors, multiplayer editing, canvas drawing, and real-time synchronization for seamless team collaboration.

    TypeScript 1 1

  4. ML_Campusx ML_Campusx Public

    🤖 A machine learning learning repository covering concepts from basics to advanced topics based on CampusX tutorials, including Python implementations, algorithms, data preprocessing, model buildin…

    HTML 1

  5. Olympics-Data-Analysis-Tej Olympics-Data-Analysis-Tej Public

    This Olympic Analysis project is built using Python, Streamlit, Pandas, and Machine Learning. It provides medal tally analysis, athlete and country insights, participation trends, and predicts futu…

    Python 1

  6. Weather-App. Weather-App. Public

    🌦️ A weather application built using HTML, CSS, and JavaScript that fetches real-time weather data from the OpenWeather API, displaying temperature, humidity, wind speed, and dynamic weather icons …

    HTML