Build a Vernacular Voice Grievance Transcript and Escalation Router

Convert vernacular voice transcripts from rural buyers into structured Beckn network dispute filings. Map colloquial complaint descriptions into standardized ONDC issue categories.

Rural buyer support specialist

Receive regional language transcript logs capturing buyer delivery complaints.

Normalize colloquial Hindi or regional phrasing into standardized grievance attributes.

Map complaint entities into Beckn core post-fulfillment issue schemas.

Publish an escalation package with dispute severity scores for operations teams.

Terminal or web workbench presenting original audio transcripts, translated dispute claims, and mapped Beckn schema fields.

Assemble mock regional audio transcripts using standard Bhashini ISO-639-1 language codes paired with synthetic dispute scenarios. Starter examples below are synthetic. They are not downloaded records.

Bhashini documentation Uses Bhashini pipeline standards for Indian language code handling (such as hi, en) and ASR/NMT task separation.

dspy, fastapi. DSPy compiles robust prompt pipelines to extract standardized categorical data reliably from colloquial regional transcripts. Multilingual model adept at Indian language transcript understanding and structured extraction.

Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.

Accurately translates informal complaints into one of five standard Beckn dispute codes.

Captures ISO language code metadata according to Bhashini API conventions.

Rejects transcripts that fail minimum intelligible length thresholds.

```json [ { "input": { "transcript_text": "Mera packet phata hua mila aur andar ka tel beh gaya tha.", "detected_lang": "hi", "order_id": "ORD-5541" }, "expected_output": { "mapped_category": "PACKAGING_DAMAGED", "language_code": "hi", "order_id": "ORD-5541", "severity": "HIGH", "escalation_recommended": true } }, { "input": { "transcript_text": "Hello?", "detected_lang": "hi", "order_id": "ORD-2201" }, "expected_output": { "mapped_category": "UNINTELLIGIBLE", "language_code": "hi", "order_id": "ORD-2201", "severity": "NONE", "escalation_recommended": false } } ] ```

Processes synthetic voice logs only; strictly avoids retaining personally identifiable biometric voice samples. Use mock external writes. Require human review before any real deployment.