Hi, I'm
VenkateswaraRao

Software Developer

Passionate software developer dedicated to crafting efficient, user-friendly applications and continuously expanding skills in technology and innovation.




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

JavaScript, Python, Java

Web Development

HTML, CSS, Node.js

Database Management

MongoDB

Frameworks & Libraries

Flask, Numpy

My Projects

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