microsoft / microsoft/agentsleague
Project: [Track] - Insurance claim amount prediction and fraud detection
Nobody has claimed this yet.
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- 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
Demo Video or Screenshots
https://drive.google.com/file/d/1HYlm55qbixJiCbegQcmPnNvRX71FRDAh/view?usp=drivesdk
Primary Programming Language
Python
Key Technologies Used
Python
Machine learning
skicit learn
Submission Type
Team (2-4 members)
Team Members
Yashashwini R
Nimitha Shetty
Vaishnavi S
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
Done
Technical Highlights
Done
Challenges & Learnings
Proces
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 is a project-submission issue rather than a scoped repository task. Start with the linked repository and its README.md, then review the setup, technical highlights, and demo materials; no specific file, test, or acceptance criterion is named, so completion cannot be determined from this issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- azure, python, scikit-learn
- 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