Face Recognition Based Entry/Exit Portal

This project is a face recognition system that identifies individuals and manages their access to a facility or campus. The system recognizes registered students, employees, and visitors(to be implemented) based on their faces and performs appropriate actions based on their recognition status.

Features

• Face detection and recognition using the face_recognition library
• Voice prompts and responses using the pyttsx3 library
• Speech recognition for user input using the SpeechRecognition library
• Object-oriented programming approach with classes for Student, Employee, and Visitor
• Integration of face recognition, speech recognition, and object management
• MySQL to update the records of students, so even if the code stops or face some error, dataset can be easily retrieved to run the system again

Setup and Installation

1. Clone the repository:

   git clone https://github.com/heisenberger69/genai.git

2. Install the required dependencies. Make sure you have Python 3 and pip installed, and then run:

   pip install -r requirements.txt

3. To register faces:

add two (or three for sql) images of each user in the faces folder with and name it name1.jpeg and name2.jpeg

method 1 (without using sql):

-type 


 name = Student()
 name.set_student("name",True(or False if you want the student to be outside the campus initially))
 new_student(name)
 ```
 or 
 ```
 name = Employee()
 name.set_employee("name",True(or False if you want the employee to be outside the campus initially ))
 new_employee(name)
 ```
 or 
 
 ```
 name = Visitor()
 name.set_visitor("name",True(or False if you want the visitor to be outside the campus initially ))
 new_visitor(name)


 just before the main to register students,employees and visitors
 ```

method 2 (using mysql)  (still have some bugs and only for students)
- first install mysql server and start a server
- then in the terminal that is running mysql, run


 

         
     Create Data ;
 Use Data ;
 Create table Students ( name varchar(50) , roll int , status_in int , visiting_place varchar(50) , path1 varchar(100) , path2 varchar(100) , path3 varchar(100);
 Insert into Students values( “name” , 0001 , 0 , “Delhi” ,  “faces/name1.jpeg” , “faces/name2.jepg” , “faces/name3.jpeg”);
 


  







3. Run the main script to start the face recognition system:

```bash
python3 system.py

or 

python3 systemsql.py

Contributors

• Hardik Jindal(220420)
• Dhruv Mittal(220363)
• Nikhil Gupta(220708)
• Raghav Manglik(220854)