You will get Build a Face Recognition System for Authentication or Attendance
Project details
I will develop a custom Face Recognition System capable of identifying registered users from images or live webcam input. This system can be used for attendance tracking, secure login, or access control. The solution leverages deep learning to generate accurate face embeddings and match identities reliably.
The project includes face detection, preprocessing, model training, and backend integration, ensuring a complete end-to-end solution. The final delivery can include a Python script, trained model, or a fully integrated application ready to be deployed.
The project includes face detection, preprocessing, model training, and backend integration, ensuring a complete end-to-end solution. The final delivery can include a Python script, trained model, or a fully integrated application ready to be deployed.
Machine Learning Tools
ChatGPT, NumPy, OpenCV, pandas, Python, PyTorchWhat's included
| Service Tiers |
Starter
$130
|
Standard
$200
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 5 days | 8 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 0 | 0 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $80
Additional Revision
+$40About Ahmad
Machine Learning & AI Developer | Computer Vision | FastAPI | End-to-E
Islamabad, Pakistan - 3:36 am local time
My work focuses on developing end-to-end machine learning solutions including data preprocessing, model development, and deploying models through scalable APIs and user-facing applications.
I have experience building practical AI systems such as computer vision models, face recognition systems, and AI-powered applications integrated with backend services.
I can help with:
• Machine Learning model development
• Computer Vision applications (object detection, image analysis)
• AI model deployment with FastAPI
• Data preprocessing and feature engineering
• AI-powered web applications
Tools & Technologies I work with:
Python, TensorFlow, Scikit-learn, OpenCV, FastAPI, React, MongoDB, PostgreSQL, Pandas, NumPy, Plotly, Streamlit
I focus on building clean, reliable, and scalable solutions that can be integrated into real-world products.
Steps for completing your project
After purchasing the project, send requirements so Ahmad can start the project.
Delivery time starts when Ahmad receives requirements from you.
Ahmad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Understand your use case, dataset, and system requirements.
Data Preparation
Organize and preprocess the images, including face detection, alignment, and normalization.