अवधी AI Physics Vernacular Tutor
Link to open source: https://github.com/ethicalvats/gdg-lucknow-hackathon
Project Purpose
In Uttar Pradesh, lakhs of UP Board students prepare for critical science examinations in their native language or local dialects (such as Awadhi). They face a massive educational barrier: premium coaching centers (like the famous Hazratganj coaching belt in Lucknow) are highly expensive, competitive, and primarily taught in formal Hindi or English.
अवधी AI Physics Vernacular Tutor bridges this gap. It serves as a personalized, low-latency, voice-to-voice educational tutor that adapts directly to the student's local dialect (Awadhi, Hindi, or Auto-Adapt) and pace (Slow, Normal, or Fast), bringing quality, localized physics coaching straight to their screens.
Project Goals
- Remove Linguistic Barriers: Deliver human-like, low-latency voice explanations in the Lucknowi Awadhi dialect, making complex physics concepts intuitive and culturally familiar.
- Dynamic Visual Integration: Pair speech instructions with on-demand, interactive HTML5/JS blackboard simulations (generated in real-time by the AI) so students can visualize forces, gravity, and inertia instead of memorizing equations.
- Continuous Gap Profiling: Automatically diagnose student strengths and learning gaps based on verbal interactions and interactive board quizzes, allowing the tutor to adapt future pacing and topics.
- Actionable Educator Oversight: Equip coordinators/teachers with an active, real-time dashboard to design lesson roadmap checklists, track student performance metrics, and export diagnostics reports automatically.
This build was uploaded as a hackathon project
