Where Finance Meets Innovation

PayLoad is a fintech hackathon focused on building practical, innovative solutions for real-world financial problems. The event brings together developers, designers, and finance enthusiasts to collaborate, prototype, and present impactful fintech ideas using technologies like AI, blockchain, machine learning, and game development.

Eligibility

1. Open to all B.Tech, BCA, MCA and BSc(CS) students interested in finance, technology, design, and innovation
2. Beginner-friendly track available (Freshers Only)
3. Inter-college teams: Allowed
4. Inter-specialization teams: Allowed

Team Formation

Participants must form teams of 1–4 members.
Solo participation is also allowed.

Competition Format

The competition will be conducted in two rounds:

Round 1: Pitch Deck Submission (Online)

Teams are required to submit a Pitch Deck (5–7 slides) covering the following:

1. Team & Track Selection and Challenges Addressed
2. Proposed Solution - Overview of the solution and how it addresses the identified problem
3. Innovation & Uniqueness
4. Technology Stack & Architecture
5. Demo & Implementation - GitHub repository link
   Prototype / YouTube demo video link (if any)
6. Impact & Future Scope (Optional)

Round 2: Final Pitch & Demonstration (Offline)

Top 8 teams per problem statement will be shortlisted.
Shortlisted teams will present and demonstrate their projects before the judges.
Evaluation will focus on functionality and potential impact.

Problem Statements

Participants must choose one problem statement:

1. OnChain Rewards – Blockchain
2. Off-Road Semantic Scene Segmentation - Computer Vision
3. Hostel Life Utility Manager – UI/UX Beginner Track (Freshers Only)
4. Financial Games & Finopoly – Game Development
5. Quantifying the Markets – Machine Learning
6. Open Innovation

Rules

1. Teams must submit a pitch deck containing project repository link and supporting documentation (if any).
2. PPT submission is mandatory.
3. Only shortlisted teams will advance to the final round.

👉 For detailed explanations of individual problem statements and tracks, click here - Payload - Problem Statements.pdf