Data ScienceArtificial IntelligenceMachine LearningStudentInnovation
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
DataQuest 2026 | Hackathon Radar
Event Type
online
1,536
Participants
₹50,000
Prize Pool
138
Est. Projects
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Quality Score
Quality Score
72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
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.