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sumedhaagh/README.md

Hi, I'm Sumedha 👋

Computer Science (AI) student interested in building intelligent systems that interact with the real world.

My interests lie at the intersection of Artificial Intelligence, Computer Vision and Natural Language Processing. I enjoy experimenting with models, understanding how they fail, and improving them until they work in practical scenarios.

Currently exploring open source development and preparing for summer of code programs while continuing to build and improve machine learning systems.

Current Focus

• Real-time gesture recognition for UAV control using deep learning • NLP tools for low-resource languages (Bengali) • Time-series prediction using machine learning • Contributing to open source projects and learning large codebases

Selected Projects

Gesture Controlled UAV Real time hand gesture recognition system for drone control using computer vision and deep learning models.

Bengali Stemmer (NLP) Rule based stemmer for Bengali that extracts root words by removing linguistic suffix patterns, evaluated using standard NLP metrics.

Netflix Stock Price Prediction System LSTM-based machine learning system for Netflix stock price prediction with a Streamlit dashboard for interactive forecasting.

Tech Stack

Python C / C++ Java TensorFlow OpenCV Git

Interests

Artificial Intelligence Machine Learning Computer Vision Natural Language Processing Open Source Systems

Currently learning how to design systems where models, data and code work together reliably.

Pinned Loading

  1. gesture-controlled-uav gesture-controlled-uav Public

    Vision Transformer based real-time hand gesture recognition system for UAV control

    Python

  2. bengali-stemmer-nlp bengali-stemmer-nlp Public

    Rule-based Bengali stemmer that removes common suffixes to extract root words, with evaluation using accuracy, precision, recall and F1-score.

    Python

  3. netflix-stock-prediction-system netflix-stock-prediction-system Public

    LSTM-based machine learning system for Netflix stock price prediction with a Streamlit dashboard for interactive forecasting.

    Python