You will get Face Recognition System that can detect, identify, and verify individuals
Rising Talent
Project details
Develop a real-time Face Recognition System that accurately detects and identifies individuals using deep learning (CNN/FaceNet).
Ideal for attendance systems, door unlocking, security monitoring, and access control, this system ensures high accuracy and real-time performance.
Delivered with a Flask-based interface or desktop application, customized to your use case.
Ideal for attendance systems, door unlocking, security monitoring, and access control, this system ensures high accuracy and real-time performance.
Delivered with a Flask-based interface or desktop application, customized to your use case.
AI Development Type
Deep Learning, Knowledge Representation, Model TuningAI Tools
Amazon SageMaker, deeplearn.js, Keras, Open Neural Network Exchange, OpenCV, PyBrain, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$120
|
Standard
$220
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 5 days | 8 days | 12 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
About Ahmad
AI/ML Engineer | Generative AI | Computer Vision | Model Deployment
Sangla Hill, Pakistan - 7:07 am local time
Over the past few years, I’ve built and deployed a wide range of AI systems, including image classification models, facial recognition attendance systems, WhatsApp chatbots, and crop disease detection tools. My work combines solid machine learning foundations with practical software engineering, so you don’t just get a model—you get a usable solution.
How I can help you
Design, train, and optimize machine learning & deep learning models (classification, detection, prediction)
Build AI-powered web apps and dashboards using Python, Flask, and modern frontend frameworks
Develop computer vision solutions for medical imaging, security, and automation
Create AI chatbots and NLP pipelines powered by LLMs (GPT, etc.)
Integrate AI systems with existing tools, APIs, and databases
Selected work
AI-Powered WhatsApp Business Chatbot for automated customer interaction
Crop Pest & Disease Detection using deep learning and computer vision
Facial Recognition Attendance System for secure, automated check-ins
How I work
Clear communication and regular progress updates
Clean, well-documented code
Focus on reliability, not just “it runs on my machine.”
If you’re looking for an AI developer who can both build intelligent models and turn them into real, user-ready products, I’d be happy to discuss your project.
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
Data preparation & preprocessing