Climate Data Hackathon Visakhapatnam
Empowering Student Innovators in Vizag to Predict & Tackle Climate Risks in Financial Markets
Data and AI for Climate Risk in Financial Markets
Supported by
A unique 3-week hackathon challenge for students, to fuse climate data, AI, and finance to build predictive models for risks. Climate Data Hackathon Vizag challenges students to decode climate-finance intersections using real datasets.
The winning teams will receive cash prizes,internship opportunities and get exclusive access to Jobs Fair
Our Partners
About The Hackathon
This Climate Data Hackathon is crafted for university students in Visakhapatnam who are ready to leverage data science, AI, and analytics to predict and mitigate climate risks impacting financial markets and economy
India's dynamic financial markets, where climate threats like rising temperatures, disasters, and policy shifts create unseen risks for investors, banks, and insurers.
You'll be building predictive prototypes that deliver real impact: data models + AI insights + actionable financial strategies.
Main Problem Statement & Ask
The Main Problem
Develop an interactive dashboard forecasting NSE stock and MCX commodity prices driven by predicted climate events
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Problem statement 1
Groundwater Depletion's Impact on Indian Manufacturing Industry Stocks
Predict how falling groundwater levels affect quarterly returns of select manufacturing industry stocks(choose 1 industry with high correlation and select 5 stocks) which use water in huge quantities. -
Problem statement 2
Disaster Impacts on Seasonal Agri Commodity Prices
Choose any three different crops from three different seasons, predict their prices by forecasting distaster events at district level. -
Problem statement 3
Rising Temperatures' Effect on India's Energy Stocks
Link average temperature rises (IMD data) to stock performance of power companies like NTPC or Tata Power on NSE(Min 5 ). Build prediction models. -
Problem statement 4
Climate-Driven Crop Diseases and Agri-Chemical Stock Impacts
Choose 3 major blast/rust or epidemics in rice/wheat (IMD humidity + NASA NDVI) and their effect on agri-chemical stocks like UPL or PI Industries. -
Problem statement 5
Rising Sea Levels' Threat to Indian Logistics Stocks
Model sea level rise (NASA altimetry) impacts on port-dependent stocks like CONCOR or Shipping Corp.(Choose 3) -
Problem statement 6
Climate-Linked Disease Outbreaks and Pharma Stock Rallies
Predict outbreaks like dengue/malaria from IMD rainfall/temperature anomalies, then forecast NSE pharma gains(Choose 5 Companies) -
Problem statement 7
Monsoon Failures and Textile Stock Volatility
Predict NSE textile & Fashion Industry stocks (e.g., Arvind Ltd, Trident, choose any 5) from weak monsoons using IMD rainfall deficits. -
Problem statement 8
Heatwave Impacts on Indian Realty Stocks
Forecast NSE realty stocks (e.g., DLF, Godrej Properties, choose any three) declines from IMD heatwave days reducing construction activity/labor availability.
Select a problem statement from above
Submit your approach
Fill in the application form with
- Introduce your team and describe how they are contributing
- Tell us why that problem matters
- Describe your approach
Submit your application form on or before 5th Mar 2026
Build your Model
Teams shortlisted for finals shall receive an invite for a mentoring session. Collab with your mentor and build your model.
Present and Win
Finalists get a chance to present their solution to a panel of industry experts. Win exciting cash prizes, internships and exclusive access to participate in Jobs fair
Who Can Apply
Only teams (2 - 4 members) can apply
Students
Enrolled in any accredited university or college in and around Visakhapatnam, India
- Undergraduate, postgraduate, or PhD.
Backgrounds Welcome: Engineering/Data Science (modeling/AI), Computer Science (coding/tools), Finance/Business (markets/risks), Sustainability/Environment (climate expertise), Economics/Social Sciences (policy/impacts), Design/UI/UX (dashboards/visuals), Any field with motivation to solve climate challenges
Why should you apply
1
Cash prizes for winners
2
Access to the inperson Jobs Fair to connect to climate related employers and startups
3
Exceptional performs get a chance to intern with Climate Collective
4
All participants will get a certificate from Climate Collective Foundation
Some Other Benefits
- Solve real climate-finance risks
- Build portfolio-ready AI prediction models/dashboards.
- Gain datasets, industry exposure.
Timeline
(Dates Subject to Change)
Announcement of shortlisted team
Kick-Off Call with the teams
Hackathon Period
Pitch Deck Submission
Announcement of shortlisted teams for Finale
Mentorship Sessions forshortlisted teams
Finale and Winner Announcement
Frequently Asked Questions
Read our list of common questions