Source: unstop Remote / Online
Prompt to Product
Organized by Acharya Institute of Technology•university•North America
DEADLINENov 1, 20265 Days Remaining
EVENT DATESNov 1 - Nov 19Timeline window
PRIZE POOL🏆 Certificates & SwagVerified bounties
Prompt to Product
About the Opportunity
About the EventBuild, test, and deploy a functional Minimum Viable Product (MVP) from a problem statement revealed at the event. Teams will use their technical skills, creativity, and approved AI tools to transform an idea into a working product within a limited timeframe.Participants can leverage AI tools for prompting, development, testing, and deployment. The focus is on solving the given problem effectively, demonstrating smart prompt engineering, building a usable product, and delivering a successful deployment. The top 8 teams will qualify to present their products through live demonstrations to a panel of judges.GuidelinesEligibility: Open to students from any college.Team Formation: Teams must consist of 2–3 participants.Problem Statement: The problem statement will be released by the organizers at the beginning of the event. Teams must build their solution based on the given statement.Event Duration: The competition will run from 9:00 AM to 1:00 PM.AI Tools: Approved AI tools may be used for prompting, development, testing, debugging, and deployment.Required Equipment: Participants must bring their own laptop and charger, along with their development tools, GitHub access, AI-tool accounts, and any required API credentials.Submission Requirements: Each team must submit:A publicly accessible live product URL.A GitHub repository containing the event project.A README documenting the problem statement, solution, technology stack, implementation, deployment, and limitations.Key prompt history demonstrating iteration and debugging.A short screen-recorded demonstration of the product.Finalist Selection: The top 8 teams will be selected based on the preliminary evaluation and will proceed to the live demonstration round.Final Presentation: Each finalist team will deliver a three-minute live demo followed by two minutes of questions from the judges.Event Schedule9:00 AM – 9:15 AM: Reporting, seating, platform access, and connectivity check.9:15 AM – 9:30 AM: Rulebook briefing, judging criteria, and problem statement release.9:30 AM – 11:30 AM: Build phase — architecture, prompting, development, and testing.11:30 AM – 11:50 AM: Final submission and preliminary evaluation.11:50 AM – 12:45 PM: Live demonstrations by the top 8 teams, followed by judges' questions.12:45 PM – 1:00 PM: Results announcement and closing.RulesOriginal Work Only: All projects must be developed during the event in response to the released problem statement. Previously completed projects and project-specific code prepared before the event are prohibited.Approved AI Tools: Participants may use AI tools for prompting, coding, debugging, testing, and deployment, subject to the approved tools and restrictions specified by the organizers.Mandatory Submission: All required deliverables, including the live product URL, GitHub repository, README, prompt history, and screen-recorded demo, must be submitted before the deadline.Deployment: The submitted product must be publicly accessible and functional at the time of evaluation.Judging Criteria: Teams will be evaluated according to the following criteria:Problem-solving and innovation — 25%Prompt strategy and execution — 25%UI/UX and functionality — 20%Deployment and completeness — 15%Live pitch and demo — 10%Documentation — 5%Finalist Presentations: The top 8 teams must present a three-minute live demo, followed by two minutes of questions from the judges.Fair Play: Plagiarism, misrepresentation of work, and attempts to gain an unfair advantage are prohibited and may result in disqualification.Team Participation: All team members must be registered participants and contribute to the development and presentation of their solution.Submission Deadline: Late submissions may not be considered for evaluation or finalist selection.Final Decisions: Decisions made by the organizers regarding evaluation, finalist selection, scoring disputes, and disqualification will be final.
Relevant Tech & Domains
AI / Machine LearningOpen Source
Score Composition (0–100)
Hiring Potential (25%)30%
Organizer Prestige (20%)85%
Accessibility & Format (15%)100%
Data Quality (10%)85%