Education is the focus
The track explicitly asks teams to develop an AI-driven concept focused on transforming education.
ACM Student Chapter presents
YUVA MEGATHON 2026
An AI-driven innovation track focused on transforming education through Generative AI, LLMs, Multimodal AI and Intelligent Educational Systems.
YUVA Megathon 2026
EduGenAI is the ACM Student Chapter–powered track for teams proposing original, education-focused AI concepts in the first screening round of YUVA Megathon 2026.
Why EduGenAI
The track explicitly asks teams to develop an AI-driven concept focused on transforming education.
Generative AI, LLMs, Multimodal AI and Intelligent Educational Systems define the published EduGenAI direction.
The published format moves selected teams from a PPT-based idea screening to an offline build and pitch at the national finale.
Official domains
These are the EduGenAI domains published in the official YUVA Megathon listing. Individual problem statements are intentionally not published here.
Build an education-focused AI concept within the Generative AI domain.
Build an education-focused AI concept within the Large Language Models domain.
Build an education-focused AI concept within the Multimodal AI domain.
Build an education-focused AI concept within the Intelligent Educational Systems domain.
Track process
EduGenAI follows the event’s idea-first format: a proposed original concept is screened through a PPT submission before shortlisted teams enter the on-campus build.
Register under one innovation track in a team of 2–4 members.
Team formatSubmit an original EduGenAI idea using the official PPT template.
Idea screeningTeams selected for the Grand Finale are announced via email.
FinalistsFinalists develop and pitch a working prototype at the offline Grand Finale.
On campusOfficial timeline
Schedule drawn from the official event listing. Confirm current times and status on Unstop before acting, as the listing may be updated by organisers.
Schedule notice: The official source shows separate time entries for submission and registration. Use the current Unstop listing as the final authority for deadlines.
Recognition
The official listing states that prizes and recognition will be awarded to the most impactful and well-executed solutions at the Grand Finale.
EduGen AI track cash prizes are presented in the Prizes & Rewards section below.
Recognition
YUVA MEGATHON'26 brings together a substantial prize and rewards ecosystem for the event’s participating teams.
Overall event · YUVA MEGATHON'26
₹1,00,000+
Total Prize & Rewards Pool
A broader event-wide pool recognising strong ideas, thoughtful innovation and high-quality execution.
EduGen AI Track
1st Prize
₹12,000
EduGen AI Track
Cash Prize
2nd Prize
₹8,000
3rd Prize
₹5,000
Reward ecosystem
Recognition extends beyond the prize pool to support promising teams and their next steps.
Competitive cash awards for top-performing teams.
Opportunities for selected high-performing participants where applicable.
Resources and support intended to help promising teams continue building.
Additional recognition for exceptional ideas, innovation or execution.
Further participant and team rewards associated with YUVA MEGATHON'26.
Resources & guidelines
Use the event listing and its supplied PPT template as the primary source for registration, submission and participant guidance.
Registration, live schedule, team format, eligibility and event-wide rules.
Required template for the Round 1 PPT submission.
Submit an original educational AI idea within the four published EduGenAI domains; the detailed challenge is announced on-site for shortlisted teams.
FAQs
No. For Smart Systems and EduGenAI, the official listing says there are no predefined Round 1 problem statements. Teams choose an original idea within the track domain; the detailed challenge is revealed on-site during the 36-hour Megathon for shortlisted teams.
Teams must consist of 2–4 members. The official rules also state that a participant may register with only one team and teams may compete in only one track.
Only shortlisted teams are required to pay a participation fee of ₹800 per team. The payment link is shared after the shortlist announcement.
Teams submit an innovative original idea as a PPT based on the track details provided. The official listing requires Round 1 submissions to use the official Megathon PPT template.
The published rules state that team composition cannot be modified after registration unless approved by the organising committee.
Use the official YUVA Megathon listing on Unstop, which provides the organiser query route. No direct EduGenAI contact details are published in the supplied source.
YUVA Megathon 2026
EduGen AI · YUVA Megathon 2026
Bring an original educational AI idea to the EduGenAI track.