Fall is the time to get your shit together. It brings the academic pressures with the onset of the school year, as well as a new recruiting season! But since you were slacking off and relaxing in the summer, you now realize it's been a long long time since you last practiced your speaking skills. Suddenly the fall season is throwing all these school presentations, job interviews, and other super-important speaking situations right at you and you've forgotten how to articulate your words! Introducing... RTQlate! (AR-TI-CU-late)
RTQlate is a 5-feature speaking assistant and feedback provider:
- Auto-summarized flashcards in the convenient form of a physical wearable.
- Real-time eye-tracking
- Sentiment analysis
- Enunciation, pronunciation, and clarity indicator
- Confidence level measurer
- Firebase for account authentication
- AssemblyAI to transcribe speech and check pauses between words and other stuff
- OpenAI API for text summarization
- Python Flask server
- The flash card bullet points are displayed on an LCD, built using Arduino and C++. A push button is used to flip through the cards. These points are automatically summarized by our OpenCV endpoint.
- Vanilla React frontend styled with Tailwind CSS
- Before you begin, ensure you have met the following requirements:
- Install required dependencies in root folder and both frontend and backend folders
npm install
- Create a
.envfile in this folder with the following variables:
OPENAI_API_KEY={YOUR_API_KEY}
FLASK_APP=main.py
(127.0.0.1:5000 by default)
cd serverpython3 -m venv venvsource venv/bin/activate(MacOS)venv\Scripts\activate(Windows Powershell)pip install -r requirements.txtFLASK_APP=main.py flask run(MacOS)flask run(Windows Powershell)
(localhost:3000 by default)
cd appnpm installnpm start
- Eyes chart
- Deployment
- Demo Video