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CoLab Nation Prompt Engineering Challenge 2026

unstopHosted on Unstop

Fetched about 2 hours ago

Tuesday, July 14, 2026

to Thursday, July 30, 2026

•

2 weeks long

UndergraduatePostgraduateEngineering StudentsManagementArts, Commerce, Sciences & OthersLawMedical

Event Type

online

92

Participants

8

Est. Projects

Think beyond prompts. Build the future with AI. The CoLab Nation Prompt Engineering Challenge 2026 is a national online innovation challenge where participants transform ideas into intelligent AI solutions. Whether you're just starting with Generative AI or already experimenting with LLMs, this challenge is your opportunity to learn, compete, and create impactful solutions. Challenge Roadmap Round 1 | Learning Module & Registration 15 – 22 July Start with curated learning resources covering Prompt Engineering, Generative AI, LLMs, and practical prompting techniques. Complete your registration and prepare for the challenge. Round 2 | Gatekeeper Quiz 23 – 24 July Take an online qualifying quiz designed to test your understanding of the learning module, AI fundamentals, and logical reasoning. Round 3 | Build Sprint 25 – 29 July On 25 July, the official problem statement will be released. Participants will have 5 days to design, iterate, and build an AI-powered solution using Prompt Engineering. Submit your final prompts, outputs, and solution before the deadline. Round 4 | Grand Finale 30 July Shortlisted finalists will present their solutions live before the judging panel, followed by an interactive Q&A. Winners will be selected based on innovation, prompt quality, execution, and presentation. Why Join? Learn Prompt Engineering from curated resources. Solve a real-world AI challenge. Win special prizes and certificates. Gain national recognition. Connect with a growing AI community. Join the Official CoLab Nation WhatsApp Community https://chat.whatsapp.com/CczXCdWuWbQAcznSy5KHph?s=cl&p=a&mlu=0&amv=1 Learn → Qualify → Build → Pitch → Win One Prompt. One Problem. Endless Possibilities. Note: This is a free opportunity.

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct