Inspiration
Rural students struggle with English/Hindi study material.
Need for mother tongue learning tools.
What it does
Explains lessons in regional languages.
Offers translations, Q&A, quizzes.
Works with voice + text.
Lightweight mobile app.
How we built it
AI models + open educational data.
Translation APIs (IndicTrans/Google).
Speech-to-text + text-to-speech.
Python backend + Flutter app.
Challenges
Translation accuracy.
Low internet performance.
Simple UI for rural students.
Limited datasets.
Accomplishments
Working prototype in regional languages.
Integrated voice support.
Scalable to more subjects.
Aligned with NEP goals.
What we learned
Combining AI + translation + speech.
Importance of user-friendly design.
Managing accuracy vs. speed.
Small teams can create big impact.
Built With
- amazon-web-services
- canva
- dart
- fastapi
- firebase
- firestore
- flask
- flutter
- github
- google-cloud
- google-colab
- google-translate-api
- gtts
- huggingface-api
- indictrans
- jupyter
- openai-api
- postgresql
- python
- pyttsx3
- transformers
- vosk
- whisper
Log in or sign up for Devpost to join the conversation.