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cls_atd

Photographic Classroom Attendance System made for 4th semester B.Tech Project under the guidance of Prof. Anand Mishra

Getting Started

  • Navigate to the cloned repository.
cd cls_atd

Backend Setup

  • Download the LightCNN-29 v2 model of LightCNN and place it in src/api/LightCNN

  • Set up and activate a virtual environment

sudo apt-get install -y python3-venv
python3 -m venv env
source env/bin/activate
  • Use pip to install other dependencies from requirements.txt
pip install -r requirements.txt
  • Navigate to src folder
cd src
  • Make database Migrations
python manage.py makemrations
python manage.py migrate
  • Run the backend server
python manage.py runserver --nothreading --noreload

The backend must now be running on localhost:8000

Frontend Setup

Note: npm must be installed in the computer

  • In a new terminal window navigate to frontend folder
cd frontend
  • Install dependencies from package.json
npm install
  • Run development server
npm run serve 

The frontend of the application must now be running at localhost:8080

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Photographic Classroom Attendance System

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