Hi, I'm
VenkateswaraRao

Frontend Developer

As a passionate Frontend Developer, I specialize in building dynamic and responsive web applications using React, HTML, CSS, and JavaScript. With expertise in the MERN stack (MongoDB, Express.js, React, Node.js), I create seamless and efficient full-stack solutions. My commitment to continuous learning and innovation drives me to stay updated with the latest web development trends and best practices.




Venky

About Me

Pursued a Bachelor's degree in Computer Science with a specialization in Artificial Intelligence, reflecting a keen interest in cutting-edge technology and its transformative applications. Acquired a comprehensive understanding of AI fundamentals, machine learning algorithms, deep learning architectures, and natural language processing techniques.

Engaged in hands-on projects that involved developing AI-driven solutions, honing teamwork and project management skills. Gained a solid foundation in computer science principles while immersing in the dynamic realm of AI innovation.



Skills

Programming Languages

Python, JavaScript, C Programming

Frontend Development

React.js, HTML, CSS

Backend Development

Flask, Fast API, Node.js, Express.js

Database Management

MongoDB

Tools & Others

Git, Version controls, Docker, Jupyter-Notebook

My Projects

Diwali Greetings

Diwali Greetings

Description:

A vibrant and interactive React application for Diwali greetings. Features customizable templates, glowing animations, and options to send or share wishes. Celebrate the festival of lights with joy and personalization!

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Note-Taking-App

Full-Stack Note-Taking App

Description:

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.

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Note-Taking-App

Todo List

Description:

Developed a dynamic Todo List application using Flask and Python. 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 templates, and basic CRUD operations.

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PhoneBook Potrait

PhoneBook-MERN Stack

Description:

PhoneKeeper is a sleek and efficient contact management application built using the MERN (MongoDB, Express.js, React, Node.js) stack. This full-stack web application offers users a seamless experience for storing, retrieving, updating, and deleting contact information.

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Stress Level Predection Potrait

AI-Powered Stress Level Predictor

Description:

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.

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COVID-Dashboard

Description:

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, providing easy-to-understand pandemic statistics and updates.

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Contact Me

Get in Touch

venkysss47@gmail.com

+91 9010105008