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You will get Smart Face Attendance app for enrollment the attendance for the employer

Ahmed M.Status: Offline
Ahmed M.
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Ahmed, priced and ready to go.
Ahmed M.Status: Offline
Ahmed M.
Preview image

Let a pro handle the details

Buy Other AI & Machine Learning services from Ahmed, priced and ready to go.

Project details

A complete system that uses the device's camera to automatically identify people using face recognition, and record their time in and out in a database.
AI Development Type
Deep Learning, Model Tuning
AI Tools
Deeplearning4j, Open Neural Network Exchange, OpenCV
AI Development Language
Python

What's included $300

These options are included with the project scope.

$300
  • Delivery Time 7 days
  • Number of Revisions 10
    • AI Model Integration
    • Detailed Code Comments
    • Source Code
Ahmed M.Status: Offline

About Ahmed

Ahmed M.Status: Offline
Software Engineer | computer vision
Cairo, Egypt - 5:25 am local time
I’m a developer experienced in building a Machine Learning (computer vision) Models for classification, segmentation detection and tracking I have already implemented several projects like counting objects in a certain region, using annotation for segment brain tumors, tracking cars and release security alerts.
- i can use a pre trained models or building one from scratch.
- Knows python and its Libraries Like pytorch, TensorFlow , keras, sklearn, Matplotlib, Seaborn, Pandas, Numby ,opencv, roboflow, altralytics and supervision.
- Full project management from start to finish
- Regular communication is important to me, so let’s keep in touch.

Steps for completing your project

After purchasing the project, send requirements so Ahmed can start the project.

Delivery time starts when Ahmed receives requirements from you.

Ahmed works on your project following the steps below.

Revisions may occur after the delivery date.

create enroll.py then create recognize.py

then create app.py for deploy the app at a local host as gui.

Review the work, release payment, and leave feedback to Ahmed.