Skip to content
View venky-1710's full-sized avatar
💞
💞
8 followers · 14 following

Block or report venky-1710

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
venky-1710/README.md

👋 Hello, I'm VenkateswaraRao

image

About Me

Hi there! I’m VenkateswaraRao, currently pursuing my B.Tech in Computer Science & Engineering at KIET College 🎓, specializing in Artificial Intelligence. I’m passionate about solving problems through code and building innovative tech solutions 💻. This README is my personal portfolio to showcase my projects, skills, and future aspirations. Let’s dive in! 🚀

Skills & Interests:

  • Programming Languages: Python, C, HTML, CSS, JavaScript (basic knowledge) 🖥️
  • Frameworks/Libraries: Flask, FastApi, React ⚛️
  • Databases: MongoDB 🗄️
  • Developer Tools: Git/GitHub, VS Code, Jupyter NoteBook, Google Colab 🛠️
  • Academic Coursework: Data Structures, Operating Systems(Windows/Linux), Computer Networks, Object-Oriented Programming, DBMS 📚
  • Interests: Problem-solving, Competitive Programming, Open-source Contributions, Hackathon Participation 🏆

Projects:

  1. Full-Stack Note-Taking App 💰 - A full-stack web application that allows users to create, manage, and securely store personal notes. Built with React for the frontend and Flask for the backend, this project showcases my ability to develop end-to-end solutions. live link

  2. AI-Powered Stress Level Predictor 🔒 - Stress Level Predictor is an innovative web application that utilizes machine learning to predict an individual's stress level based on various personal and environmental factors. Built with Python, Flask, and scikit-learn, this tool employs a Decision Tree Classifier to analyze user inputs and provide accurate stress level assessments. live link

  3. Todo List 🐍 - Developed a dynamic Todo List application using Python-Flask. This web-based tool allows users to create, manage, and track their tasks efficiently. Key features include adding new todos, marking tasks as complete, and deleting items. The project demonstrates proficiency in backend development with Flask, frontend integration using HTML, and basic CRUD operations. live link

Connect with Me:

Feedback Welcome:

I’m always eager to learn and grow as a developer. If you have any feedback, suggestions, or just want to connect, feel free to reach out via email or on LinkedIn. 😊

Popular repositories Loading

  1. react-portfolio react-portfolio Public

    A modern, responsive personal portfolio website built with React and Next.js. Showcases projects, skills, and experience with a clean, interactive design. Features dark mode, animated sections, and…

    TypeScript 2

  2. stress-level-predection stress-level-predection Public

    Stress Level Prediction is a web app using machine learning to estimate user stress levels. It takes inputs like anxiety, sleep quality, and academic performance, then predicts stress using a Decis…

    HTML 1

  3. cov-dashboard cov-dashboard Public

    A responsive React-based COVID-19 dashboard offering real-time data visualization. Features interactive charts and graphs for cases,recoveries, and deaths. Designed for intuitive user experience, p…

    JavaScript

  4. PhoneBook-MERN-Stack PhoneBook-MERN-Stack Public

    A MERN stack phone book application for managing contacts. Features include adding, viewing, editing, and deleting phone numbers with a responsive UI. Built using MongoDB, Express, React, and Node.…

    JavaScript

  5. todo-list todo-list Public

    A sleek and efficient Todo List application built with Flask. This project showcases a clean, responsive design with a serene mountain background. Users can easily add, complete, and delete tasks. …

    CSS

  6. superhero-recruitment superhero-recruitment Public

    Superhero Recruitment System predicts hero selection using machine learning. Users input hero attributes through a web interface. A Random Forest model analyzes abilities, strengths, weaknesses, su…

    HTML