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Hemanath400/README.md

👋 Hemanath Thangavel

Machine Learning Engineer • Computer Vision • Data Science • Open Source

Typing SVG

GitHub LinkedIn LeetCode Kaggle Portfolio 

$ whoami --verbose

name         Hemanath Thangavel
role         Machine Learning Engineer / Data Scientist
edu          Master's in Computer Science Engineering (Class of 2026)
focus        Computer Vision · Deep Learning · Generative AI · Agentic AI
mission      Building practical AI systems: Data ➔ Model ➔ Eval ➔ Deploy

⚡ Key Impact

$ cat impact_and_oss.txt

computer_vision     90.1% mAP@50 · 100% Precision · 3/3 Unseen Events
football_analytics  17K+ Players tracked · 700+ Clubs · 1.8M+ Appearances
open_source         Multiple Merged PRs @ OpenAgentHQ & OpenAgent Eval
workflow            Branching · Code Review · Unit Testing

🚀 Featured Projects

Rumble Strip Detection

A robust Computer Vision system designed to detect highway rumble strips from forward-facing road video, providing critical early warnings to drivers.

  • Performance: 90.1% mAP@50 • 100% Precision • 90% Recall • 94.7% F1 Score
  • Tech Stack: Python, RF-DETR, Roboflow, OpenCV, Computer Vision

Football Player Analytics Dashboard

An interactive and comprehensive football analytics platform leveraging Transfermarkt data.

  • Scale: 17K+ Players • 700+ Clubs • 1.8M+ Appearances
  • Tech Stack: Python, Pandas, NumPy, Plotly, Streamlit

Football Match Predictor

A predictive Machine Learning application forecasting international football match outcomes utilizing historical data and advanced gradient boosting.

  • Tech Stack: Python, Pandas, Scikit-learn, XGBoost, Streamlit

AI Developer Focus Monitor

An ML-powered productivity system that combines a VS Code extension, Flask API, and real-time dashboard to monitor developer focus.

  • Tech Stack: Python, Flask, SQLite, Machine Learning, Streamlit

🛠️ Tech Stack

$ cat stack.txt
languages    Python · SQL · SQLite · Pandas · NumPy
ai_ml        Scikit-learn · XGBoost · LightGBM · CatBoost · CNNs · ResNet
cv           OpenCV · Roboflow · RF-DETR · Video Processing
deployment   Streamlit · Flask · FastAPI · REST APIs
tooling      Git · GitHub · Joblib

🤝 Open Source Contributions

$ cat open_source.txt
openagenthq     - Contributed core fixes & architectural improvements to the primary AI repo
openagent_eval  - Enhanced the evaluation-focused codebase via rigorous testing & merged PRs
workflow        - Git · GitHub · Branching · Code Review · Unit Testing

💻 Problem Solving

LeetCode Kaggle

Focus Areas: Python, Data Structures & Algorithms, SQL, Machine Learning

📊 GitHub Stats

📫 Connect With Me

LinkedIn GitHub Portfolio



⚡ Building Practical AI Systems

Data Engineering ➔ Advanced Modeling ➔ Rigorous Evaluation ➔ Scalable Deployment ➔ Real-World Impact


Profile Views

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  1. rumble-strip-detection rumble-strip-detection Public

    Computer Vision system for detecting highway rumble strips from forward-facing road videos using RF-DETR, with temporal confirmation and real-time driver warnings.

    Python 1

  2. football-player-analytics-dashboard football-player-analytics-dashboard Public

    ⚽ End-to-end football analytics dashboard using Transfermarkt data, featuring player performance analysis, K-Means clustering, PCA visualization, and a similar-player recommendation system built wi…

    Jupyter Notebook

  3. focus-monitor focus-monitor Public

    🧠 AI-powered developer productivity monitor that tracks VS Code activity, analyzes focus behavior, and predicts burnout risk using Machine Learning with Flask, SQLite, and Streamlit.

    Python

  4. global-weather-air-quality-dashboard global-weather-air-quality-dashboard Public

    🌍 Interactive global weather and air quality dashboard for analyzing temperature, humidity, wind speed, PM2.5 pollution, and environmental hotspots using data visualization.

    Jupyter Notebook

  5. Customer_Churn_Prediction Customer_Churn_Prediction Public

    📊 End-to-end telecom customer churn prediction system using Machine Learning, SMOTE, classification models, and a deployed Streamlit application for real-time churn risk prediction.

    Jupyter Notebook

  6. Football-match-predictor-app Football-match-predictor-app Public

    ⚽ Machine Learning football match outcome predictor using XGBoost and engineered team performance statistics, with an interactive Streamlit dashboard for win, draw, and loss predictions.

    Jupyter Notebook