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Hackathon | Let’s Build AI for Climate Resilience: Adapt & Be Accountable

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​Let’s Build AI for Climate Resilience: Adapt & Be Accountable

​We have crossed crucial inflection points of climate change and environmental degradation, which means that even if mitigation efforts go as planned (🫠), there are catastrophic impacts which will be faced by humanity at large, and disproportionately borne by societies which have done the least to cause this problem.

​This also, however, provides an opportunity to rethink a lot of our systems and societies from first principles, ground-up. Which translated to massive amounts of money flowing in and business opportunities for players that can help with building this resilience.

​Solutions fall in the following major buckets:

​- Better visibility: Anything and everything that helps us predict impacts of climate change, both in the short term as well as long term

​- Immediate response: How can technology be used to minimise the impact of extreme weather events in the short term, through better alerting, communication, resource allocation and deep tech innovation

​- Long term adaptation for industries: Since we know that a lot of climate impacts are right on the horizon, how do we build industry specific solutions to make industries more resilient to the events which are relevant for them?

​- Financial solutions:  Insurance and loans play a major role in helping industries and communities adapt and face challenges. Innovative financial products can be created which solve the problem in a profitable way

​- Long term adaptation for societies: This goes into community and city scale adaptation efforts in terms of built environment, mobility, green cover, air quality and urban land preservation

​- Behaviour change: Customer facing solutions which focus on community engagement, promoting more resilient choices or creating general awareness


​Problem Statements for the Hackathon

​Visibility

​Anything and everything that helps us predict impacts of climate change, both in the short term as well as long term

​- Digital twins that analyze infrastructure plans for climate risks

​- Smarter weather alerting systems, which are either more granular or consider longer timeframes

​- Risk assessment for low income communities and high vulnerability areas

​Crisis Management

​How can technology be used to minimise the impact of extreme weather events in the short term, through better alerting, communication, resource allocation and deep tech innovation

​- Emergency response and communication systems

​- Healthcare and frontline inventory management for crises

​- Prediction and containment of vector borne diseases right after disasters

​Industry specific resilience

​Since we know that a lot of climate impacts are right on the horizon, how do we build industry specific solutions to make industries more resilient to the events which are relevant for them?

​- Seed varieties which are more resilient to extreme weather

​- supply chains that are resilient to extreme weather

​- resilient and sustainable energy grids

​- urban/peri-urban farming systems that are more resilient

​- AI copilots for disclosures and reporting

​Financial products

​Insurance and loans play a major role in helping industries and communities adapt and face challenges. Innovative financial products can be created which solve the problem in a profitable way

​- parametric insurance products for farming

​- hyper-local disaster data for motor and property insurance providers

​- disaster relief insurance products for small business

​- MRV systems or marketplaces for biodiversity credits

​- prediction models for assessing assets at risk

​Behavior change

​Customer facing solutions which focus on community engagement, promoting more resilient choices or creating general awareness

​- localized circular economy networks

​- waste management solutions (like waste food → hungry people)

​- solutions that increase public participation in local policy decisions

​- educational products that can create awareness and/or drive behavior change

​Rules, Format & Criteria

​Date: July 18-19, 2025
Start Time: 9:00 AM
Participants: ~100 (Teams of 2 to 4 members)
Duration: 24 Hours

​Hackathon Format

​9:00 AM – Kickoff & Mentor Talks (1 Hour)

  • ​Welcome note

  • ​Theme walkthrough and expectations

  • ​Short, sharp talks from mentors to inspire and guide participants

  • ​Logistics and submission guidelines

​10:00 AM – Concept Submission (1 Hour)

  • ​Teams finalize and submit a 2-slide concept outline:

    1. ​Problem statement and proposed solution

    2. ​What they plan to build in 24 hours

​11:00 AM – Mentor Huddle + Build Begins (2 Hours)

  • ​Mentors available for hands-on guidance

  • ​Teams start prototyping

  • ​Final clarifications and nudges before remote work begins

​1:00 PM – Lunch & Break

  • ​Informal networking

  • ​Venue disbands; teams continue building remotely

​Post 2:00 PM – Remote Build Phase

  • ​Teams have the remaining time to design, develop, and document their solution

  • ​Mentors will be available via whatsapp group for support (up to 9:00 PM)

​8:00 AM, July 19 – Final Submission Deadline
Teams must submit:

  • ​🛠️ Project link / demo (webpage, deck, app, repo, etc.)

  • ​🎥 2-3 min video walkthrough (explain + demo)

  • ​🔗 GitHub repo (clean code, with README)


​Hackathon Rules

  1. ​Team Size: 2-4 members per team. Please ask your team mates to apply individually. Solo entries will be paired with other people.

  2. ​Originality: All work must be done during the hackathon. No pre-built projects or code please.

  3. ​Use of AI: Must use AI in a meaningful way to address the climate problem.

  4. ​Fair Play: No plagiarism. Any external libraries or datasets used must be credited.

  5. ​Remote Support: Mentors available on WhatsApp; queries post 9:00 PM will be difficult to address.

  6. ​Submission Format: Video + GitHub Repo + Live Demo/Link (if possible)

  7. ​Deadline Strictness: Late submissions will not be accepted beyond 8:00 AM on July 19.

Location
OJone
OJone Building, 72, Service Rd, LRDE Layout, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India
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