Note- This project was a part of Icertis AI/ML and blockchain hackathon and was selected in the finals(12 teams across India).

Farmers in developing countries like India have always been at the mercy of the weather. Changing weather patterns have further aggravated the problem. Traditional forms of crop insurance are slow, capital-intensive and often economically unviable for private businesses. Farmers are also unwilling to get their crops insured because of a lack of trust in the insurance companies and the fear of delayed/non-payment of claims.

An easy to use, secure interface to manage insurance policies, farm details and other information through a website and/or mobile app using blockchain technology to design a solution that will allow fast settlement of crop insurance claims along with the weather data to determine drought or excessive rainfall at farm locations to automatically trigger settlements.

• Azure Cloud
• Azure Blockchain Workbench
• Azure Logic App
• Azure ML Studio
• Etherium
• WorldWearther API
• Android Studio
• Ionic Fremework
• Angular
• Postman

• Azure Blockchain Workbench,
• Azure Logic Apps,
• Azure APIs and Authentication Services
• Azure Machine Learning Studio (Classic)
• Azure URL:https://icertishackathon-cfezfn.azurewebsites.net/

Scan the insurance document. OCR/Manual Data Insertion. Farmer initiates a claim request. Automatic claiming of insurance once drought conditions are satisfied in Azure Logic Apps. The amount insured is calculated using ML.

Video - https://drive.google.com/file/d/1PfykE6vAJkYgX9TrVumG4WXAMFkJoM5k/view