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rahul-purswani/README.md

Hey! 👋 Welcome to my GitHub space 🚀

🙂 Pronouns - He/him/his
🌟 I'm Rahul, a Computer Science Master's student at the University of Kansas. 🎓 Passionate about computer vision, deep learning and software development. Always growing my software skills and constantly learning new technologies. Let's code together and bring ideas to life! 🙌
🏔 🌊 When I step away from keyboard you will likely find me outdoors - exploring trails or swimming (although its been a while since I last went on a trail 🙃).

What's new?

🌱 I am learning AWS and focusing on S3, EMR, and RedShift.
👨‍💻 I am developing a real-time car damage detection model using TensorFlow. The deployment of this model will be on ESP32S board using TensorFlowLite and TensorFlowMicro (Inference on Edge).

How to reach me 💬

Click here to checkout my website. Some of my featured projects ⬇

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  1. car-damage-detection car-damage-detection Public

    This project automates the inspection and assessment process for car damages. I developed a deep learning model that accurately detects car damages. The model was deployed on ESP32 board.

    Jupyter Notebook 1

  2. skin-disease-classifier skin-disease-classifier Public

    This project aims to develop a robust model capable of identifying and classifying multiple skin diseases from images. By experimenting with various CNN architectures and applying transfer learning…

    Jupyter Notebook 1

  3. imdb-reviews-analysis imdb-reviews-analysis Public

    This project is a comprehensive analysis of IMDb movie reviews, featuring data extraction, pre-processing, sentiment analysis, temporal analysis, and correlational analysis. The project aims to unc…

    Jupyter Notebook

  4. SoccerTact SoccerTact Public

    Developed for local teams, this web application delivers comprehensive soccer analytics derived from event data, enhancing team performance insights.

    Python

  5. MapKU MapKU Public

    Forked from DanielRJohnson/MapKU-FullProject

    MapKU streamlines class searches at the University of Kansas. Quickly locate classes by entering their numbers on a customized google map. Effortless navigation for students and visitors on campus.

    JavaScript