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Watson Code Fest 2026

dorahacksHosted on DoraHacks

Fetched 1 day ago

Friday, May 8, 2026

to Saturday, May 9, 2026

•

1 day long

Artificial IntelligenceHealthtechData Science

Event Type

online

7

Participants

USD300

Prize Pool

0

Est. Projects

Tagline: Debugging the 3.2 Billion-Node Human Genome. About the Hackathon: Software engineering is usually about building apps or managing databases. But what if the codebase you were working on was 3.2 billion lines long, undocumented, and responsible for human life? Watson Code Fest 2026 is Nepal's first premier Biohackathon, hosted at Kathmandu University. We are bringing together the brightest minds in Biotechnology, Computer Engineering, and Data Science to solve the 'Genomic Architecture of Disease.' This is not a biology quiz; it is a high-stakes challenge in Big Data, Graph Theory, and Machine Learning. The Challenge: Participants must architect computational pipelines or functional prototypes that can identify, categorize, and predict the impact of pathogenic variations within massive genomic datasets. You are essentially building a 'Genomic Debugger' for the human system. Competition Tracks: 1. The Computational Route: Focus on algorithmic efficiency, pipeline architecture, and data scaling. Participants treat the genome as a massive de Bruijn graph, optimizing sequence alignment and handling high-dimensional stochastic strings. 2. The Biological Route: Focus on clinical interpretation and medical outcomes. Participants use probabilistic models to differentiate biological signal from noise and predict the phenotypic impact of genetic mutations. Key Themes: - Genomic Architecture of Disease: Mapping mutations to clinical pathologies. - Big Data and AI: Leveraging ML to navigate biological complexity. - Algorithmic Engineering: Applying String Topology and Graph Theory to sequence assembly. Schedule: - Location: Kathmandu University, Dhulikhel, Nepal. - Coding Phase: May 8-9, 2026 (48-hour sprint). - Format: In-person hackathon with technical pre-event workshops. Judging Criteria: - Technical Rigor: Complexity of the algorithms or models used. - Scalability: Ability of the tool to handle real-world genomic volumes. - Biological Relevance: Accuracy and clinical utility of the insights generated. - Execution: Completion of a functional prototype within the 32-hour coding window. Organizers: Hosted by the Department of Biotechnology and the Department of Computer Science and Engineering at Kathmandu University, in collaboration with NAAMII (Nepalese Applied Mathematics and Informatics Institute). Coordinator: Anunaya Poudel

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