NEUAI.NA

In the project of designing and developing a controlled access system for university students to exams with biometric security and face recognition systems, Python, Opencv, Machine Learning models will be used to compare students' photos, student numbers and information in the exam entry documents stored in the database before entering the exam, and if the information matches, students will be able to enter the exam, and if it does not match, it will be a software that will allow the exam proctor to exclude students from the exam. The purpose of this software will be to ensure that the common exams held in our school are carried out under equal conditions.

Features

• Face recognition and detection
• Calculating similarity between two faces
• Comparing an image from the camera with an image in the database
• Document analysis
• Document detection

Requirements

• Python 3.10+

Installation

1. Clone this project:

   git clone https://github.com/OlguD/NEUAI.NA.git
   cd NEUAI.NA

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # MacOS/Linux
   venv\Scripts\activate  # Windows

3. Install the requirements:

   pip install -r requirements.txt

4. Run project:

   python neuai/app.py

OR direct download the package

1. Clone this project:

   git clone https://github.com/OlguD/NEUAI.NA.git
   cd NEUAI.NA

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # MacOS/Linux
   venv\Scripts\activate  # Windows

3. Install project

   pip install .

4. Run the project

   neuai