Data ScienceArtificial IntelligenceMachine LearningWeb DevelopmentInnovation
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.
Event Type
online
261
Participants
₹20,000
Prize Pool
23
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
Description:
Millions of people do it everyday: they bookmark a life-changing video, jot down a brilliant startup idea in the shower, or screenshot a quote. But then? They never look at it again. It disappears into the void, and that value is lost forever.
"We drown in information, but starve for wisdom."
Your mission is to build a Cognitive Layer Engine—an intelligent MVP that takes these messy inputs (URLs, voice notes, random thoughts) and automatically organizes them into a system that actually remembers for you.
The Challenge:
Smart Resurfacing: Design algorithms to bring forgotten insights back to the surface when you need them most.
End-to-End Product Design: You must architect the full lifecycle, from parsing raw text to visualizing insights on a smart Dashboard.
More details will be shared when the problem statement is released! Stay tuned!
Rewards:
Prize pool of Rs. 20,000 (cash)
Internship calls for Top 5 participants
Timeline:
Problem Statement goes live at 11:59 p.m., 18th February 2026
Solution submission on 11:59 p.m., 22nd February 2026
Evaluation Criteria:
Explainability
All classifications, scores, and clusters must include clear, evidence-backed reasoning grounded in post content.
Vague or generic justifications will be penalized.
System Architecture & Engineering
Clean modular design with separation of ingestion, classification, scoring, clustering, and UI layers.
Robust handling of API limits, missing data, and edge cases.
Scalability awareness should be reflected in design and documentation.
Usability & Presentation
Dashboard should be intuitive for non-technical users.
Clear visual hierarchy highlighting high-signal insights.
Minimal learning curve for first-time users.
Code Integrity:
All core logic must be original work developed during the hackathon.
Use of standard libraries and external APIs (e.g., OpenAI, Anthropic) is allowed if clearly documented.
Copying substantial code from existing projects or turnkey solutions is not permitted
Any adapted external code must include proper attribution.
WhatsApp Link:
Please join the WhatsApp group for faster updates:
https://chat.whatsapp.com/GWWXU0MmFVrK3DHVnuYkVo