You will get Custom AI Object Detection & Recognition Solutions


Project details
Transform your ideas into powerful AI-powered computer vision solutions with custom object detection and recognition models built specifically for your use case. Whether you need real-time object detection for CCTV, manufacturing, retail, healthcare, agriculture, sports analytics, or any other industry, I deliver scalable, accurate, and production-ready solutions.
Using state-of-the-art deep learning frameworks such as YOLO, PyTorch, OpenCV, and TensorFlow, I develop custom models trained on your dataset to detect, classify, and recognize objects with high accuracy. I can also optimize existing models, integrate them into your application through APIs, and assist with deployment.
What you'll get:
• Custom object detection and recognition model
• Training on your own dataset
• Model validation and performance testing
• Clean, well-documented source code
• API integration (Flask/FastAPI) if required
• Deployment guidance and post-delivery support
Every project is tailored to your requirements, with a focus on accuracy, efficiency, scalability, and long-term maintainability. My goal is to deliver a solution that is reliable, easy to integrate, and ready for real-world use.
Using state-of-the-art deep learning frameworks such as YOLO, PyTorch, OpenCV, and TensorFlow, I develop custom models trained on your dataset to detect, classify, and recognize objects with high accuracy. I can also optimize existing models, integrate them into your application through APIs, and assist with deployment.
What you'll get:
• Custom object detection and recognition model
• Training on your own dataset
• Model validation and performance testing
• Clean, well-documented source code
• API integration (Flask/FastAPI) if required
• Deployment guidance and post-delivery support
Every project is tailored to your requirements, with a focus on accuracy, efficiency, scalability, and long-term maintainability. My goal is to deliver a solution that is reliable, easy to integrate, and ready for real-world use.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, Databricks Platform, Keras, MLflow, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlowWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,000
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$25
Additional Model Variation
(+ 2 Days)
+$100
Additional Scenario
(+ 2 Days)
+$75
Additional Graph/Chart
(+ 1 Day)
+$25
Model Documentation
(+ 1 Day)
+$75
Data Source Connectivity
(+ 2 Days)
+$150About Mohammad
AI Engineer | LLMs, RAG, AI Agents & Computer Vision
Karachi, Pakistan - 6:18 pm local time
the design and development of intelligent applications leveraging
skills in LangChain, LangGraph, and vector databases. I work on
creating scalable AI solutions, integrating large language models
(LLMs), and deploying production-ready systems to address
complex business challenges. Currently pursuing a Bachelor's
degree in Computer Software Engineering at Sir Syed University
of Engineering & Technology, I am committed to staying at
the forefront of advancements in generative AI and autonomous
systems. My focus is on transforming innovative AI concepts into
secure, reliable, and impactful solutions that enhance automation
and decision-making processes.
Steps for completing your project
After purchasing the project, send requirements so Mohammad can start the project.
Delivery time starts when Mohammad receives requirements from you.
Mohammad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
I'll review your project requirements, dataset, target objects, and deployment goals to define the best approach before development begins.
Data Preparation
I'll inspect, clean, and prepare your dataset. If required, I'll provide guidance on annotation and optimize the data for model training.
