Education technology
Sahayak AI
Just-in-time coaching engine for rural teachers.
Documented system flow
How Sahayak AI is structured
Select a node to inspect its role.
Teacher input
Multilingual voice and text queries originate from classroom users.
Interactive readme
Explore Sahayak AI
A concise, source-backed implementation record with the available project actions.
What is documented
- Designed an offline-first, cache-first backend that serves common classroom guidance immediately and routes only novel queries to live AI inference.
- Built a trust-scoring system for ranking crowdsourced teaching solutions with multilingual voice and text input and role-based dashboards for Cluster Resource Persons and DIET faculty.
Technology used
Offline-first architectureMultilingual NLPCache-first design
Source: supplied Resume. This is a concise visualization of documented components, not a full internal deployment blueprint.