You will get Smart Face Recognition Sign-In Solution with Real-Time Database Integration
Project details
The Face Recognition Sign-In System provides a secure and seamless authentication solution using facial recognition technology. It allows users to log in by simply scanning their face, offering enhanced security and convenience. The system integrates with a database to manage user data and authentication, with customizable options for branding and security features. Whether you're a small business seeking a simple solution or an enterprise requiring advanced multi-factor authentication, this system adapts to your needs. It supports various platforms (Windows, macOS, Linux) and is fully customizable, including options for cloud integration. The system also ensures privacy and data protection with features like encryption and secure communication. Ideal for businesses looking to improve user authentication, streamline access control, and enhance security.
Machine Learning Tools
NumPy, OpenCV, Python, SQLWhat's included
| Service Tiers |
Starter
$200
|
Standard
$350
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 0 | 1 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Model Documentation
(+ 2 Days)
+$5Frequently asked questions
About Eyad
AI Engineer | Machine Learning Engineer | Data Scientist
Alexandria, Egypt - 2:03 am local time
Hi, I'm Eyad Eldokany, an AI Engineer with a strong passion for building intelligent systems that solve real-world problems. With a solid background in Machine Learning, Deep Learning, and Computer Vision, I’ve worked on multiple impactful projects—from disease diagnosis models to intelligent image captioning systems with multilingual support.
💼 What I Offer:
Custom AI/ML model development (classification, prediction, detection, segmentation)
Deep Learning solutions using PyTorch and TensorFlow
Computer Vision applications (image analysis, face recognition, object detection)
Natural Language Processing (text classification, translation, summarization)
Deployment using Flask/FastAPI + Docker
AI-powered web apps with user-friendly interfaces
🛠 My Skills & Tools:
Languages: Python, JavaScript
Frameworks: PyTorch, TensorFlow, Keras, OpenCV, scikit-learn
Tools: Jupyter, Google Colab, Git, Docker
NLP Libraries: NLTK, SpaCy, Transformers
Databases: MySQL, Supabase, Firebase
Deployment: Flask, FastAPI, Streamlit
✅ Why Choose Me?
I tailor each solution to the exact needs of your business.
I write clean, modular, and well-documented code.
I focus on accuracy, performance, and user experience.
I’m communicative, reliable, and always meet deadlines.
You get not just code, but a full AI solution ready for production.
📬 Let’s turn your AI idea into action — contact me now and let’s build something incredible together!
Steps for completing your project
After purchasing the project, send requirements so Eyad can start the project.
Delivery time starts when Eyad receives requirements from you.
Eyad works on your project following the steps below.
Revisions may occur after the delivery date.
Project Discovery & Requirements Gathering
Discuss with the client to understand their specific needs, features, and customization preferences. Define security protocols, database integration, and platform requirements. Collect necessary branding or UI/UX guidelines.
System Architecture & Design
Design the system architecture (flowchart, database schema). Choose appropriate machine learning models for facial recognition. Plan user interface and experience based on client requirements.