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Stellar WaveIssues in the Stellar wave programIssues in the Stellar wave programbackendgood first issueGood for newcomersGood for newcomers
Description
Description:
Develop a module that analyzes extracted document data to identify risk indicators, inconsistencies, and potential fraud signals.
Requirements:
- RiskAssessmentModule with configurable rules engine
- Check for missing critical fields
- Detect date inconsistencies
- Identify overlapping land claims (spatial queries)
- Flag unusual patterns or anomalies
- Calculate risk scores (0-100)
- Generate risk reports with recommendations
- Configurable risk thresholds
- Machine learning integration (optional: TensorFlow.js)
- Historical risk pattern analysis
Acceptance Criteria:
- Module analyzes documents and returns risk scores
- Risk indicators are accurate and actionable
- Configurable rules without code changes
- Performance optimized for batch processing
- Comprehensive logging
- Unit tests with edge cases
- API endpoints documented
Tech Stack: NestJS, TypeORM, PostgreSQL, TensorFlow.js (optional)
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Stellar WaveIssues in the Stellar wave programIssues in the Stellar wave programbackendgood first issueGood for newcomersGood for newcomers