We are aware the purpose of the project is to build a face recogniser with the use of neural network with python and we believe we have the right tools to perform this task. Here is the brief overview about how we plan to complete the task (unless specified differently by the employer ).
1. Firstly, read the training images, detect face of each images and assign the label of the person to which each image belongs.
2. Secondly, train the model with the application of neural network. We would try out CNN-based object detection algorithms to tackle the problem.
3. As the last step, we would test out the accuracy of the result with the trained model created in the second step and compile our findings in the final report.
If this sounds interesting to you, please do not hesitate to contact us. We are excited to hear more details about your project. Thank you for your time.