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Achievement: QuickdrawAchievement: YOLO

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T-Syam-Kumar/README.md

Hey There 😊 I'm, Teku Syam Kumar

🎓 B.Tech Student (AI & ML) | 💻 Python Developer | 🤖 AI Enthusiast Passionate about building intelligent systems and scalable backend solutions. Skilled in Python, Machine Learning, DSA, and Django, with a strong focus on solving real-world problems.

t-syam-kumar

t-syam-kumar

Connect with me:

syam kumar t 23a31a42j0 syam_31 tsyamkumar 23a31a42j0

Languages and Tools:

c css3 django docker flask git heroku html5 java javascript kubernetes linux mongodb mssql mysql nodejs opencv pandas postgresql postman python pytorch react scikit_learn seaborn selenium sqlite tensorflow

t-syam-kumar

 t-syam-kumar

t-syam-kumar

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  1. Link-Space Link-Space Public

    A web-based URL Organizer designed to help users save, manage, and organize important links in one place. Built to improve productivity by providing quick access to frequently used URLs with a clea…

    TypeScript 1

  2. Heart_disease-predictor Heart_disease-predictor Public

    This project aims to predict the likelihood of heart disease in patients using machine learning techniques. The model is built using Logistic Regression, a widely used algorithm for binary classifi…

    Python 1

  3. Movie_recommender_System Movie_recommender_System Public

    A machine-learning–based recommendation system that suggests movies tailored to user preferences. This project uses content-based filtering to analyze movie features such as genre, cast, keywords, …

    Jupyter Notebook 1

  4. Health_Hub Health_Hub Public

    Health Hub is a fully functional web application designed to help users track their health and well-being. Built with HTML, CSS, and JavaScript, the app provides various health-related features suc…

  5. Hand_written-Digit-Recogniser Hand_written-Digit-Recogniser Public

    This project implements a machine learning model that classifies handwritten digits (0–9) using the MNIST dataset, one of the most widely used benchmarks in computer vision. The goal is to build a …

    Jupyter Notebook

  6. Weather_App_Flask_backend Weather_App_Flask_backend Public

    A cloud-deployed Weather Dashboard built with Flask and OpenWeatherMap API. This project demonstrates backend development, third-party API integration, secure environment variable management, and p…

    CSS