3X Hackathon Winner🏆• SIH'24 Finalist • Adobe GenSolve Top 5% Finalist • β MLSA • Arcade Facilitator'24 ☁️ • IBM Intern

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Roshni Kumari  • Peerlist

Building Full-Stack Applications and AI-Powered Agents.

CSE Student at CCET Chandigarh | Aspiring Software Developer | Enthusiast in Web Development, Data Structures, and Algor

CSE'27 | A tech enthusiast with keen interest in development and problem solving.

Indie Hacker | Open Source Advocate | Technical Writer

Introducing Kosu– The Ultimate Hackathon Revolution! <ul><li>Talent Scout: Matches job requirements with candidate profiles using zero-shot classification</li></ul><ul><li> Skill Verifier: Verifies skills and credentials using question answering models</li><li>Interview Prep: Generates interview questions and feedback using text generation models</li><li>Resume Analyzer: Extracts skills, experience, and education from resumes using sentiment analysis- PDF Processing: Browser-compatible PDF text extraction for resume analysis</li><li>Hackathon Events: Browse, register, and participate in blockchain hackathons with wallet integration</li><li>NFT Minting: Mint exclusive KOSU NFTs with unique attributes and rarity levels using Petra Wallet</li><li>Hackathon Teammate Finder: Helps hackathon participants find teammates based on skill compatibility and experience using AI-powered matching</li></ul>

Kosu

InnovaHub

A Car Rental Management System is a software application designed to facilitate the smooth operation and organization of a car rental business. It allows customers to rent vehicles for a specific duration, manages the inventory of available cars, calculates rental costs, and maintains records of transactions and reservations. In this project, we will implement the Car Rental Management System using C++ and employ Object-Oriented Programming (OOP) concepts to create a robust and efficient solution.

Car Rental Management System

The Plant Disease Identification and Solution App is a mobile application designed to empower farmers by providing them with a convenient and effective tool to identify and address diseases affecting their plants and crops.

Plant Disease Detection

This project aims to develop an image classification system to identify dog breeds using deep learning models. The classifier leverages pre-trained models from the PyTorch library, including ResNet18, AlexNet, and VGG16, to achieve accurate breed identification from images.

Image Classifier: Dog Breed Identification

Real-time monitoring of gas levels, pressure and Temperature-- a critical safety solution. We integrated the LPG sensor detector, microcontroller, and SMS Gateway module to create a low-cost, quick response and low-maintenance gas Leakage prototype.Check out the Video: <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-500 rich-link break-all link-break" href="https://www.youtube.com/shorts/o6G8AlKrfoM">https://www.youtube.com/shorts/o6G8AlKrfoM</a>