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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