After a strict assessment round, Chubb announced the top three winners of the Innovateher AI-ML Hiring Challenge, organized in collaboration with MachineHack. The Hackathon focused on Climate Risk Intelligence Genai applications and participated from some of the most innovative women in the AI and machine learning sectors.
Meet the winner:
Each participant has built a genai-powered solution that addresses real-world climate risks and insurance challenges, and stands out for technical depth and real use cases.
Of the 20 total scores, the top three participants selected for interviewing Chubb were:
baishnavi Sonawane – Polisure (Score: 18)
Sonawane's winning project, Polisure is a full-stack climate risk intelligence platform for underwriters, actuaries and ESG teams. It integrates regulatory monitoring, AI-powered portfolio optimization and real-time risk scoring across five insurance domains.
The application, built using Langgraph and Claude AI, combines climate APIs, geospatial mapping and LLM-driven insights to provide practical intelligence to insurance professionals.
To check out the GitHub repository, click here.
poorima devi – AI Agent Digest for Insurance News & Reports (Score: 17)
Devi has created an autonomous Genai agent that curates and summarises climate risks and the latest updates to Insurtech. Built using Langchain, Gemini Flash, and Riremlit, this tool allows users to enter topics and receive a brief, relevant news and report summary cited from the web using Google custom search and scraping tools.
Agents are designed to help insurers stay up to date without information overload.
Click here to check out the project.
🥉Nikita Chelani – Insurance AI (Score: 16.5)
Chelani's submission, Insureclime AI is a seasonal research assistant who retrieves and summarises regulations, climate and financial news from global sources. Provide reliable overviews and custom risk reports using Tavily API, Gemini AI, and COSINE similarity analysis. It also includes a user feedback loop that continuously improves output quality and generates downloadable PDFs for compliance and analytics teams.
Click here for more information about the project.
Why is this challenge important?
The Innovateher AI-ML Challenge is part of Chubb's broader initiative to empower female developers in new technology fields. By building real-world applications that intersect climate risk and AI, these innovators have shown us how Genai will impact changing the future of insurance.
All thanks to all participants!
For all the female developers who participated, your passion and talent was truly inspiring. I hope this challenge was a stepping stone on your tech career journey.
