I will do face recognition related computer vision work

Why you should choose me: 

Quick Responsive

Great communication

Will refund if you are not satisfied.

What i have done:

I have worked on numerous projects related to ML and CV which includes:

• The detection of suspects in CCTV or RTSP images including the detection of the person holding a weapon.
• Face Recognition Based Attendance System.
• Face Recognition in Python, Web, and PyQT with known faces stored in the database and compared with an unknown face. I also have trained custom models for edge devices for facial parts segmentation e.g. lips.
• I have built and trained ML models for object detection in images. The custom models created were trained on CIFAR10, COCO, and custom datasets.
• Spoofing detection using the "Passive Liveness" detection method.

What I can do:

I can build and train models for face recognition and landmarks detections for edge devices as well as deploy on the internet using Streamlit.

Tools Used:

Anaconda

Jupyter Notebook

Google Colab

Pycharm

VS Code

Libraries that I've experience in:

Tensorflow

OpenCV

Keras

Scikit-learn

Flask

Tensorlfow js

Tensorflow lite

OpenCV js

PyQT