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🚀 Sudhanshu Tiwari

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🌟 Tech Enthusiast | 💻 AI & Web Developer | 🌈 Innovator

Hi there! 👋

Welcome to the extraordinary world of Sudhanshu Tiwari! A passionate tech explorer, Sudhanshu crafts marvels that blend AI, web development, and innovation. With a knack for turning ideas into reality, he's always at the forefront of cutting-edge technologies.

🌌 Journey through the Cosmos

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🌟 Skills that Ignite

🌟 Stellar Achievements

✨ GariTrack - A web app empowering Gari tokens to purchase various things using wallet. Awarded the hackathon bounty at LNMHacks 5.0.

🌈 SightEase -Enhancing Accessibility through Vision-based Assistance.

🌟 Interests and Motivation

Curiosity fuels Sudhanshu's relentless pursuit of knowledge and growth. An eternal optimist, he believes in the transformative power of technology to create a better world. Sudhanshu is dedicated to contributing to the tech community through mentorship, knowledge sharing, and collaborating on groundbreaking projects.

Feel free to explore more about Sudhanshu on website and reach out for exciting collaborations!

Sudhanshu tiwari's Projects

chat-application-database icon chat-application-database

The Chat Application Model Database is designed to provide a robust and structured data storage solution for a chat application. It serves as the backbone for managing user accounts, friend relationships, and chat messaging features within the application. This comprehensive documentation covers the database .

links.io icon links.io

A links page, like a Linktree, is a web page that consolidates important links in one place. It simplifies sharing multiple links, such as social media profiles, websites, and portfolios. It includes a profile picture, a title, and a list of clickable links. The page enhances online presence by providing easy access to various resources .

sightease icon sightease

SightEase is an AI-powered object detection application designed to assist visually impaired individuals in identifying objects in their surroundings. The application uses machine learning algorithms to recognize and label objects captured by the user's smartphone camera. It then provides audio feedback to the user, describing the identified object

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