• Hackathon Radar
Hackathons
  • Browse
  • Judge Opportunities
  • Sponsors
  • Organizers
  • Map
  • Discover
Explore
  • Stats
  • State of Hackathons
  • Changelog
Personal
  • Passport
  • Favorites
  • Settings

FitchGroup - Drive Sustainability using AI

devpostHosted on Devpost

Fetched 8 months ago

Friday, November 21, 2025

to Monday, November 24, 2025

•

3 days long

Artificial IntelligenceMachine LearningClimate TechSustainabilitySocial Impact
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

in person

75

Participants

6

Est. Projects

About the challenge

Project Name: Enhanced Emissions Estimates for ESG Data Completeness

Use Case Summary: Many companies do not report complete greenhouse gas emissions (Scope 1, 2, and 3), leaving significant gaps in ESG data used by investors for decision-making and compliance. This project proposes developing a more accurate and reliable system for estimating emissions for non-reporting companies, aiming to improve current backtesting performance (currently in the high 70% range). The initiative would leverage internal and external data sources (e.g., revenues, employees, industry, country, ESG scores) to generate robust emissions estimates. The dataset will be obfuscated to protect from privacy & MNPI concerns.

Event Schedule: November 21, 2025

8:00 - 9:00 Registration and Breakfast
9:00 - 9:30 Opening remarks by Matt Jones
9:30 - 10:00 Presentation by Hugo Sancen
10:00 - 10:30 Team Assignments and Mentor introductions
10:30 Codeathon Begins
12:30 - 1:00 Lunch
1:00 - 1:30 Presentation by Fitch Recruitment
1:30 - 5:30 Codeathon continues
5:30 Dinner

Codeathon continues Remote: November 22 & 23, 2025

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