Boteach

Idea

Is to bridge the educational disparities that arises in traditional classroom paradigms.

Students classified to

Demo App (v0.1)
- A lecture video (7m-1hr)
- AI is fed the lecture transcript
- Students are allowed to listen to the video
- Students can ask their doubts to the AI, and AI will answer in the ctxt of the video
Pre-MVP v0.2
- Additionally, Students would be shown the lecture snip that explains the answer to their q.
Outcome:
1. We are not trying to replace human teachers
2. We are trying to bridge the gap arises with students and human teachers.
MVP v0.3, v0.4
- Expand our demo video -> 5 videos list
- min: 90% accurate responses from AI in terms of lecture snip and prompt
MVP v0.5
- Add support for all youtube videos
MVP v1.0
- Role out RBAC (Role based Access control) to our beta users
- Roles of users: i) Teacher- Upload video, and transcript. Evaluate ii) Learner- Search bar: to search for a lecture video and watch it and ask qs
MVP v1.2
- Teacher Dashboard (see the video list, viewers etc) Implementation: look for open source dashboards - PowerBI
MVP v1.3
- AI Avatars powered by https://elevenlabs.io or https://studio.inworld.ai/ ......

Name		Name	Last commit message	Last commit date
Latest commit History 52 Commits
.github		.github
.streamlit		.streamlit
config		config
data		data
database		database
enums		enums
handlers		handlers
logs		logs
public		public
static		static
utils		utils
views		views
.dockerignore		.dockerignore
.env.example		.env.example
.gitattributes		.gitattributes
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
.python-version		.python-version
.ruff.toml		.ruff.toml
Dockerfile		Dockerfile
LICENSE		LICENSE
Makefile		Makefile
Readme.md		Readme.md
main.py		main.py
poetry.lock		poetry.lock
pyproject.toml		pyproject.toml
pytest.ini		pytest.ini
setup.cfg		setup.cfg
test_main.py		test_main.py