Indian-Language Speech Recognition for a Farmer Helpline
Internship role: Machine Learning Intern. Fine-tune and evaluate a speech-to-text model on one Indian language for agricultural queries, report word error rate by accent and noise level, and wrap it in a simple helpline demo.
Internship role: Machine Learning Intern. Fine-tune and evaluate a speech-to-text model on one Indian language for agricultural queries, report word error rate by accent and noise level, and wrap it in a simple helpline demo.
GitHub repo or evidence pack + live demo / report + README + milestone logbook
Stack: Python, PyTorch, open Indic speech datasets, Whisper-style models
- Works as specified30
Every feature in the brief runs end to end with real data, and the reviewer can follow the README to try it.
- Code quality & design20
Clear structure, sensible names, input validation, no secrets in the repo, and a short note on the main design choices.
- Testing & evidence20
Automated tests for the core paths, plus a live URL, screenshots or a short demo video.
- Documentation15
README covers purpose, setup, how to run tests, and known limits.
- Reasoning & presentation15
The write-up explains trade-offs and results in plain language, with numbers where they exist.
Pass 60% · Merit 75% · Distinction 90%
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