QuantCraft

Join the Partcipant GroupClick Here Orhttps://chat.whatsapp.com/BKyxwSmsiHR4Qmnxr6P5SL About QuantCraft QuantCraft is a 24-hour hackathon hosted at Galgotias University and organized by Team Nexido and BuilderBase. The event brings together developers, designers, and innovators from across the country to build impactful solutions using technology, creativity, and AI-assisted workflows. Powered by partners including TRAE AI, DomAIyn, Shardeum, and Duality, QuantCraft focuses on rapid prototyping, real-world problem solving, collaboration, and innovation in a fast-paced competitive environment. Highlights • 24-hour non-stop hackathon• ₹35,000+ prize pool• AI-assisted development workflows• Real-world problem statements• Mentorship, networking, goodies & certificates• Tracks in AI/ML, Blockchain, Cyber Security, Game Development & Sponsor Tracks QuantCraft aims to create a platform where creativity, technology, and innovation come together to shape the future of product development. Eligibility Open to all undergraduate and postgraduate students across India Participants from any college, university, specialization, or academic background are eligible Developers, designers, innovators, and beginners are all welcome Participants must carry a valid college ID card during offline verification and participation Team Formation Teams can consist of 1–3 members Solo participation is allowed Inter-college teams are allowed Inter-specialization and interdisciplinary teams are allowed Each participant can register in only one team Hackathon Format QuantCraft is a 24-hour offline hackathon Teams will ideate, design, develop, and present a working prototype or solution during the event Focus areas include innovation, rapid prototyping, AI-assisted workflows, and real-world problem solving Main Problem Tracks • Artificial Intelligence & Machine Learning (AI/ML) Build intelligent systems that solve real-world problems using AI, data science, automation, computer vision, NLP, recommendation systems, predictive analytics, or generative AI. Example Problem Statements: (Examples only — participants are free to build their own ideas.) • AI-powered career guidance platform for students. • Smart attendance system using face recognition. • AI-based mental wellness assistant. • Personalized learning recommendation system. • Blockchain Develop decentralized applications, Web3 platforms, smart contract solutions, DeFi systems, NFT utilities, decentralized identity systems, or blockchain-based security and transparency solutions. Example Problem Statements: (Examples only — participants are free to build their own ideas.) • Blockchain-based certificate verification system. • Decentralized crowdfunding platform. • Web3 voting platform with transparent auditing. • Secure supply-chain tracking using blockchain. • Cyber Security Create solutions focused on digital safety, ethical hacking, privacy, threat detection, authentication, secure infrastructure, malware detection, or cybersecurity awareness. Example Problem Statements: (Examples only — participants are free to build their own ideas.) • AI-powered phishing detection tool. • Secure password management platform. • Real-time network intrusion detection system. • Browser extension for scam and malicious website detection. • Game Development Build innovative games, immersive experiences, multiplayer systems, educational games, indie games, gamified platforms, or experimental gameplay experiences. Example Problem Statements: (Examples only — participants are free to build their own ideas.) • Multiplayer survival game with unique mechanics. • Educational game for improving coding skills. • Story-based puzzle adventure game. • AI-driven NPC interaction system for games. Special Sponsor Tracks DomAIyn Lab Track Official Problem Statements 1. Adversarial Testing System for LLM Security Build an adversarial testing system that automatically generates and executes malicious or deceptive prompts to evaluate the robustness of Large Language Models against jailbreaks, prompt injection, data leakage, and unsafe outputs. Example of What You Can Build: • Automated red-teaming frameworks for LLMs. • Prompt injection detection systems. • AI safety evaluation dashboards. • Risk scoring systems for unsafe responses. • Security analytics and reporting tools for LLM behavior. 2. Scalable LLM Evaluation & Benchmarking Platform Design and develop a scalable evaluation platform that benchmarks multiple Large Language Models across standardized datasets, providing comparative insights on accuracy, reasoning, hallucination, latency, and robustness through an interactive leaderboard and analytics dashboard. Example of What You Can Build: • Multi-model benchmarking systems. • Interactive AI leaderboards and dashboards. • Hallucination detection and scoring tools. • Comparative analytics platforms for LLM performance. • Automated testing pipelines for AI models. Duality Track Detailed problem statements and guidelines will be shared separately Development Rules Teams may use any programming language, framework, or technology stack Open-source tools and publicly available resources are allowed Usage of TRAE AI during development is mandatory for all teams Teams may need to provide proof of TRAE AI usage during evaluation or submission AI-assisted development workflows are encouraged Projects should align with the selected problem track Teams are encouraged to focus on originality, scalability, creativity, and practical implementation Hackathon Rounds Round 1 — Registration & PPT Screening Teams submit registration and PPT PPT submission deadline: 20 May 2026 Shortlisting based on innovation, feasibility, creativity, and relevance Round 2 — 24-Hour Hackathon Shortlisted teams participate in the offline hackathon at Galgotias University Teams build a functional prototype, MVP, or working solution Mentorship and technical support may be provided Final Evaluation & Presentation Teams pitch and demonstrate projects before judges Evaluation criteria may include innovation, technical implementation, UI/UX, scalability, creativity, practicality, and presentation quality Judges may ask technical and product-related questions Rules Participants must maintain professional and respectful behavior Any plagiarism, cheating, or misconduct will lead to disqualification Projects must be developed during the hackathon duration only Pre-built templates, open-source libraries, and frameworks are allowed, but complete pre-developed solutions are prohibited Teams must clearly mention all external APIs, tools, frameworks, or AI platforms used Participants are responsible for the safety of their own devices and belongings Disqualification Criteria Teams may be disqualified for: Plagiarism or copied projects Misconduct or violation of rules Fake submissions or non-functional demos Missing the final submission deadline Any unethical or harmful implementation Additional Information All participants will receive certificates of participation Winning teams will receive prizes, goodies, and sponsor benefits Event schedules, reporting details, and additional instructions will be shared with shortlisted participants before the hackathon