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PS 3 — ClubOps AI. Problem Statement - College clubs often manage events through WhatsApp groups, spreadsheets, documents, meeting notes, and personal task lists. As an event grows, it becomes difficult to keep track of responsibilities, deadlines, pending tasks, dependencies, and potential risks. Build a centralized platform that helps clubs plan and execute events by bringing tasks, volunteers, meetings, deadlines, documents, and risks together in one place.

Challenge

PS 3 — ClubOps AI. Problem Statement - College clubs often manage events through WhatsApp groups, spreadsheets, documents, meeting notes, and personal task lists. As an event grows, it becomes difficult to keep track of responsibilities, deadlines, pending tasks, dependencies, and potential risks. Build a centralized platform that helps clubs plan and execute events by bringing tasks, volunteers, meetings, deadlines, documents, and risks together in one place.

Expected Deliverable
• AI-assisted event planning
• Task and volunteer management
• Meeting notes or transcript processing
• Automatic identification of action items, owners, and deadlines
• Risk identification and explanation
• Club document and knowledge repository
• AI-assisted announcements and communication
• AI-assisted workflows that can perform actual application actions
Judging Parameters
• Usefulness and accuracy of event planning
• Accuracy of task, owner, and deadline extraction
• Practicality of risk detection
• Effectiveness of the club knowledge base
• Quality of task and volunteer management
• Quality of AI integration
Technology Parameters
AI Models: Gemini, ChatGPT, Claude, Llama, Mistral, etc.
APIs: Gemini API, OpenAI API, other suitable APIs, etc.
Frontend: React, Next.js, HTML/CSS/JavaScript, Tailwind CSS, etc.
Backend: Node.js, Python, Java, PHP, etc.
Database: MongoDB, PostgreSQL, MySQL, SQLite, Firebase, JSON, etc.
Other: RAG, document processing, authentication, notifications, dashboards, etc.

Submissions are only open during the event.