Home Security System

The aim of the project is to develop a viable home security system using AI applications.

Approach

The project is developed using:

1. Face Detection using Haarcascade for frontal face detection.
2. Using K-NN Algorithm developed a face recognition system.
3. To translate Speech to Text: Used SpeechRecognition API developed by Google. To translate Text to Speech: Used gtts library developed by Google.

Programming Technologies used:

Languages: Python Packages: tensorflow, SpeechRecognition, gtts, NumPy, OpenCV, Pandas

Demo Run:

Step 1: Go to the folder where you have stored the files in Terminal

Step 2: Type - python3 regres.py

Program will start running.. It will ask for the house personal names. Enter No when finish entering.

Step 3: Say "Hi James"

Step 4: Continue with the process.