feat: implement chat API routes, note generation logic, and model loading utilities

feat: initialize FastAPI application structure with Pydantic configuration and model loader service

feat: implement analytics service and API endpoints for user dashboard statistics

feat: add scripts to migrate and recalculate user analytics and update dependency lockfile

feat: add singleton AI model loader and note generation service

feat: implement AI-driven recommendation service and integrate Qwen2.5/mDeBERTa model management into FastAPI lifecycle

feat: implement local model inference with Qwen2.5 and mDeBERTa, and add recommendation system service.

revert: rollback project files to stable chat backend (commit f1332f7)

Resolve pycache conflict and update project files

model

feat: implement robust YouTube transcript downloader with multi-provider fallback strategy and modular API routing

feat: implement Pydantic configuration management, add end-to-end pipeline testing, and include documentation for the recommendation module.

feat: change the implemention pipeline to Supadata-first

add youtube api

your commit test

update code

update

Refactor: Move Gemini API logic to backend, clean up Flutter UI, and secure credentials

Revert "minor change"

minor change

v2.1

server v2

v1.5