最多获胜黑客松
Manobendra Mandal
Vivek Sahu
simp1e
最多完成项目
Ricky
Prithwish Chatterjee
Manjeet Sharma
This project helps us to analyze the risks of whether to buy an NFT or Token by providing with a risk score.
Our Xroar project is addressing the lack of end-to-end visibility that leads to counterfeiting, fraud, inefficiencies, and regulatory compliance issues.
Our Xroar project is addressing the lack of end-to-end visibility that leads to counterfeiting, fraud, inefficiencies, and regulatory compliance issues
Our Xroar project is addressing the lack of end-to-end visibility that leads to counterfeiting, fraud, inefficiencies, and regulatory compliance issues.
SkillSwap AI connects people through knowledge, not currency. We’re building a learning revolution where anyone can teach, anyone can learn, and AI makes the match.
Syncora bridges the gap between technical and non-technical teams with AI-driven messaging, role-based access, auto-translation, and smart insights to streamline communication and boost productivity.
The vision of this project is to create a low-cost, wireless, and compact NAS solution enabling local file sharing, personal cloud access, and IoT data storage with a simple web-based or network inter
GestureSlide aims gesture-based presentation control and a smart whiteboard for real-time writing. It offers a hands-free, interactive experience, optimizing efficiency for educators and professional.
Creating an on campus online marketplace where people can share their products. The application is build around handling transactions by AVAX in the Avalanche Network with eigen layer verification.
HireHub is an AI-powered online interview platform with video conferencing, face detection, and an intelligent chatbot that provides real-time interview suggestions, enhancing candidate assessments.
A Smart HealthCare Management Platform that connects doctor, patients, and hospitals at single place, it helps in emergency situations
Developing a web application where users can upload files (TXT, JSON, PDF, CSV), convert them into datasets, and query them using natural language, which will be internally translated into SQL
