Inspiration
Many government welfare schemes in India are increasingly using AI for decision-making. However, these systems can unintentionally contain hidden biases based on caste, gender, rural/urban divide, first-generation status, and regional language. We wanted to build a platform that improves transparency, accountability, and fairness in such critical decisions.
What it does
BiasMitra is an AI-powered Fairness Auditing Platform that helps detect, visualize, and reduce bias in government welfare schemes such as:
- PM-KISAN
- Scholarships
- Bank Loans
- Ujjwala Yojana
Users can securely upload beneficiary CSV datasets. BiasMitra then analyzes the data and provides:
- Fairness Score
- Bias Gap Analysis (Gender, Caste, Rural/Urban, etc.)
- Interactive Visualizations
- AI-powered explanations and improvement suggestions
- Multilingual support (English, Tamil, and Hindi)
How we built it
Frontend
- Flutter (Web + Mobile)
Backend & Authentication
- Firebase Authentication
- Firestore
- Firebase Storage
AI Engine
- Google Gemini AI for contextual explanations and recommendations
Visualizations
- fl_chart
Reports
- PDF generation for transparency and compliance documentation
Challenges we ran into
- Measuring multiple forms of bias accurately
- Making AI explanations simple for non-technical users
- Handling multilingual outputs effectively
- Processing CSV data securely without exposing sensitive information
- Designing meaningful visualizations for common citizens
Accomplishments that we're proud of
- Built a working end-to-end fairness auditing prototype
- Integrated Gemini AI for explainable insights
- Added multilingual support
- Designed a clean and accessible user interface
- Maintained strong focus on ethics, privacy, and responsible AI
What we learned
- Responsible and Ethical AI principles
- Real-world fairness evaluation techniques
- Explainable AI concepts
- Flutter + Firebase integration
- The social impact of biased AI systems
What's next for BiasMitra
- Real-time API integration with government systems
- Advanced “What-If” fairness simulator
- Voice input/output support
- Public transparency dashboards
- Large-scale deployment for institutions and public welfare systems
Built With
- cloud-firestore
- csv-parser
- dart
- firebase-authentication
- firebase-hosting
- fl-chart
- flutter
- google-fonts
- google-gemini-api
- pdf-&-printing-api
- provider
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