Project Under 'Smart Odisha Hackathon 2022'

Details

The Government of Odisha has enrolled multiple farmers across the state under the Pradhan Mantri Fasal Bima Yojana (PMFBY) this year. The number of enrollments has been increasing every year and the Government hopes to reach more farmers in a short time.

Even though the scheme has been designed to be pro-farmer, there have been operational issues in the field. One such challenging problem is the delayed settlement of insurance claims and their rejection by insurance companies. Insurance companies are yet to clear almost 33 percent of estimated claims to the framers who come under the PMFBY. Due to these issues the state has witnessed farmer agitations about the lack of clarity in the settlement and disbursement of insurance claims.

Solution

Building Enhanced Krishi Application for Claim of Insurance ( EKACI) ( where farmers can register, claim and track claim as well as government authorities can monitor, regulate and report actions taken), that is efficient enough to deal with the farmer insurance claims. We intend to adopt a decentralised blockchain approach to fix the glitch caused by insurance companies while settling claims, making each claim get settled at 2x faster rate.

Ekaci’s Machine Learning model will reduce the troubles arising on the field while predicting the crop damage. Ekaci will give the farmers the liberty to upload and report the loss and provide prediction , if he/she is eligible for receiving insurance sum with the help of sensors.

Key Features

🤝 Allows farmers to apply for multiple Insurance policies
📈 Enables tracking of Claims (using Blockchain)
👩‍🌾 Crop Damaged Prediction (using ML)
📄 Allows Insurance companies to add Insurance policies & plans
✅ Insurance companies can track & verify claims
⏫ Insurance companies can update user's claim data
🖥️ Allows government to track & monitor data

Technologies Used

Get Started

Note: You need to have an ethereum account and some test ethers to run the app.

1. Clone the repository to your local machine.



git clone https://github.com/krishna9304/Ekaci

2. Install MetaMask & Register your account.
3. Navigate to the project Directory.



cd Ekaci

4. Install node dependencies.
5. Verify the presence of dependencies like Truffle and web3js.
6. After successful verifcation, run the command.



npm run start

Voila! You are good to go. 🥳

Glimpses from the Project

Made By

💬   Ankita Sahu (Frontend)
🖥️   Krishna Mahato (Backend)
👕   Sachin Pandey (Blockchain)
🚀   Sourav Bera (Machine Learning)