microsoft / microsoft/agentsleague
Project: [Track] - [Insurance claim amount prediction
Nobody has claimed this yet.
- Dominant language
- No language data
- Stars
- 286
- Forks
- 92
- Avg merge
- 12h 44m
- Merged PRs (30d)
- 1
Description
Track
Reasoning Agents (Azure AI Foundry)
Project Name
Prediction and detection
GitHub Username
Manasa-gowda24
Repository URL
https://github.com/Manasa-gowda24/insurance-claim-fraud-detection.git
Project Description
Insurance Claim Amount Prediction and Fraud Detection is an AI-powered enterprise solution that helps insurance companies estimate claim amounts accurately and identify fraudulent claims. The system uses machine learning algorithms to analyze historical insurance data, customer information, and claim patterns. It improves claim processing efficiency, reduces financial losses due to fraud, and supports better decision-making. The project aims to enhance transparency, accuracy
Demo Video or Screenshots
https://drive.google.com/file/d/1HYlm55qbixJiCbegQcmPnNvRX71FRDAh/view?usp=drivesdk
Primary Programming Language
Python
Key Technologies Used
Ml
Python
Submission Type
Team (2-4 members)
Team Members
Yashashwini R
Nimitha shetty
Vaishnavi Sa
Submission Requirements
- My project meets the track-specific challenge requirements
- My repository includes a comprehensive README.md with setup instructions
- My code does not contain hardcoded API keys or secrets
- I have included demo materials (video or screenshots)
- My project is my own work with proper attribution for any third-party code
- I agree to the Code of Conduct
- I have read and agree to the Disclaimer
- My submission does NOT contain any confidential, proprietary, or sensitive information
- I confirm I have the rights to submit this content and grant the necessary licenses
Quick Setup Summary
Nil
Technical Highlights
Done
Challenges & Learnings
Procees
Contact Information
manasagowda430@gmail.com
Country/Region
India
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
This issue is a project submission and does not identify files, tests, or an implementation entry point in the agentsleague repository. Review the linked insurance-claim-fraud-detection repository and its README first; a contribution would need a specific change target and acceptance criteria before completion can be verified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure, python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100