DataQuest 2026

All That You Need to Know About DataQuest 2026 Step into the future, data warriors! Megalith 2026, IIT Kharagpur presents DataQuest 2026, an online data science and AI hackathon that challenges participants to design and build intelligent systems capable of reasoning over information and generating meaningful outputs. DataQuest 2026 focuses on applied AI, system design, and problem-solving using modern machine learning approaches. Overview Calling all data analysts, AI enthusiasts, and machine learning practitioners! DataQuest 2026 invites you to work on a real-world inspired AI challenge centered around building a Retrieval-Augmented Generation (RAG) pipeline. Participants are expected to design an end-to-end solution that can retrieve relevant information efficiently and generate accurate, context-aware responses. Problem Statement The problem statement has been attached on the platform. Participants are required to carefully review the attached problem statement, understand the use case, and start working on their RAG-based solution immediately after registration. Team Formation Team size: 1 to 5 members Solo participation is allowed Inter-college and inter-specialization teams are permitted Collaboration is encouraged to bring diverse technical strengths together. Eligibility Open to all graduating students Students from any discipline or specialization may participate No restriction on academic background Prizes & Rewards Prize Pool: Up to ₹50,000StockEdge Vouchers for winners to support analytics and AI educationCertificates for top-performing teams Detailed prize distribution will be announced on the platform. Mandatory Registration Requirement As part of the registration process, all team members must star the following GitHub repositories: https://github.com/pathwaycom/llm-app https://github.com/pathwaycom/pathway ️Only teams that complete this requirement during registration will be eligible to proceed further in the competition.Proof submission is mandatory and will be verified. (this requirement is also reflected in the registration form for transparency.) Register now, review the problem statement, and start building your RAG-based solution.Let intelligence meet implementation.