AI Study Planner Hackathon
UnsaidTalks
AI Study Planner Hackathon: Stages and Timelines
Kickoff & Problem Statement
Engineering students juggle multiple technically demanding subjects, each with different cognitive loads, prerequisites, and deadlines. Traditional study planners fail to adapt to this complexity.This challenge focuses on building an AI-powered study planner that helps engineering students plans intelligently. Important: The complete problem statement, rules, and constraints will be revealed only during the Kickoff Session on 7th February 2026 ,12:00 PM IST
Build & Submission
Your task is to develop a smart, adaptive study planning system that generates personalized study schedules based on subject difficulty, deadlines, learning pace, and cognitive load. You’ll be judged on: Planning Logic Adaptability Engineering Quality Reliability
All that you need to know about AI Study Planner Hackathon
With over 11 successful Hackathon editions in past, Our Hackathon has already garnered 100,000+ impressions and 2500+ enthusiastic registrations. Back by popular demand,With the growing academic pressure on engineering students, this challenge focuses on building an intelligent, AI-powered study planning solution that addresses real-world learning problems faced during engineering education.
The AI Study Planner challenge gives you the opportunity to design a system that helps students study smarter, manage time effectively, and reduce academic stress through personalized planning.
About the Challenge:
- Build tools that help engineering students plan their studies effectively
- Focused on personalized, adaptive study schedules
- Designed specifically for engineering students
- Real academic problem with real student impact
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Core Focus Areas:
- Intelligent study time allocation
- Cognitive load balancing across subjects
- Prerequisite and concept dependency handling
- Dynamic prioritization based on deadlines
- Personalized learning pace and constraints
What You’ll Work On:
- Creating a smart study planning system
- Generating adaptive daily/weekly study schedules
- Identifying weak areas and prerequisite gaps
- Optimizing study patterns for better retention
- Building a clean, easy-to-use planning interface
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Prizes Worth Competing For:
- Winner: 50% Scholarship on Build4Hire – Web Dev Gen AI Program
- First Runner-Up: 40% Scholarship on Build4Hire – Web Dev Gen AI Program
- Second Runner-Up: 30% Scholarship on Build4Hire – Web Dev Gen AI Program
Bonuses for Participants:
- Special Bonus: AI prompts used by top engineer
- Free Certificate for every valid submission from UnsaidTalks
Learning Outcomes:
By the end of this challenge, participants will gain:
- Experience building adaptive AI-powered planning systems
- Understanding of cognitive load–aware scheduling
- Skills in designing personalized productivity tools
- Confidence handling real-world academic constraints
- A strong project demonstrating practical problem-solving
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Important dates & deadlines?
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7 Feb'26, 11:59 AM IST Registration Deadline
Contact the organisers
Send queries to organizersRewards and Prizes?
Winner
Get a 50% scholarship on the Build4Hire – Web Dev Gen AI Program
First Runner Up
Get a 40% scholarship on the Build4Hire – Web Dev Gen AI Program
Second Runner Up
Get a 30% scholarship on the Build4Hire – Web Dev Gen AI Program