Threws Odyssey 2026

Overview

THREWS ODYSSEY 2026 is an online research and innovation hackathon organised by Threws – The Research World.

The hackathon brings together students, developers, researchers and technology enthusiasts to build practical solutions to real-world problems across multiple domains.

Participants can choose a problem from one of the following tracks:

• Artificial Intelligence & Machine Learning

• Medical & HealthTech

• Cybersecurity

• FinTech

• ClimateTech & Sustainability

• DeepTech & Scientific Computing

• Smart Cities & Social Impact

• Human-AI & Assistive Technology

• Web3, Privacy & Decentralised Systems

• Open Innovation

What to Build

Participants are expected to identify a meaningful problem and develop a working solution. Projects can be software products, AI/ML systems, research prototypes, cybersecurity solutions, data-driven applications or other technology-based solutions relevant to the selected track.

Projects should demonstrate a clear problem statement, a well-defined approach and a functional prototype. Participants are encouraged to research existing solutions and explain how their approach improves upon or differs from them.

Eligibility

• Open to college students, freshers, professionals, researchers and independent developers.

• Participants from any academic or technical background can apply.

• Participation is open to individuals as well as teams.

• Maximum team size: 4 members.

• Participants may choose any one of the available tracks.

Hackathon Process

• Register for THREWS ODYSSEY 2026.

• Select a track and identify a problem.

• Develop the solution during the hackathon period.

• Test and refine the project.

• Submit the project before the submission deadline.

• Submissions will be reviewed by the judging panel.

• Shortlisted participants may be invited for a final demonstration or presentation.

• Winners will be announced after the final evaluation.

Submission Requirements

Each submission must include:

• Project name

• Problem statement

• Description of the proposed solution

• Key features

• Technology stack

• Source code / repository

• Working prototype or demonstration

• Brief explanation of the implementation

• Dataset and external resources used, where applicable

• Results or evaluation, where applicable

A short demo video may also be requested for shortlisted projects.

Judging

Projects will be evaluated on:

• Innovation and originality

• Technical implementation

• Relevance…

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