You will get full functional sport analysis app
Top Rated
Top Rated
Project details
At MLWeb solutions, we specialize in building customized systems that analyze the behavior and movements of players across various sports. Our advanced analysis provides actionable feedback to help athletes improve their techniques and performance.
Machine Learning Tools
ChatGPT, Databricks MLflow, Deeplearning4j, Google AutoML, GPT-3, Keras, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, TensorFlow, Vertex AIWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,500
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 45 days |
Number of Revisions | 1 | 4 | Unlimited |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 1 | 4 | 5 |
Number of Graphs/Charts | 10 | 20 | 20 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$200 - $800
Additional Revision
+$100
Deployment
(+ 3 Days)
+$250
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MO
Michael O.
Jan 22, 2025
60 minute consultation
I had a great consultation with Mohamed, and I’m thoroughly impressed. He took the time to carefully explain everything, ensuring I understood each concept. It’s clear that he really knows his stuff and has a deep understanding of AI and computer vision. Highly recommend his expertise!
FA
Fahad A.
Jan 5, 2025
This contract will be for our AI solution platform and its interface for end users like doctors,
calm and focused communicator with punctual behavior,
deep technical knowledge
deep technical knowledge
AA
Abdullah A.
Jul 28, 2024
R&M AI
He was helpful and completed the necessary work, and even more.
JF
Jerry F.
Jul 26, 2024
Optimization Pt1
FA
Fernando A.
Apr 15, 2024
60 minute consultation
About Mohamed
Data Scientist | Computer Vision Engineer | LLMs developer
100%
Job Success
Asyut, Egypt - 4:26 am local time
I help startups and companies turn ideas into working AI products: from data preparation and model development to deployment and integration into real applications. I’ve worked as the sole ML engineer for a healthcare AI startup, built production-ready computer vision systems, and developed end-to-end ML pipelines for both research and industry use.
What I can help you with
🔹 Computer Vision: image classification, object detection, segmentation, tracking, video understanding, pose-based analysis, medical imaging AI, error analysis, model debugging, and data augmentation workflows.
🔹 Machine Learning Engineering: PyTorch model development, multi-GPU training, experiment tracking, reproducible workflows, model evaluation, failure analysis, performance optimization, ONNX, TensorRT, and Triton deployment.
🔹 AI Product Development: building MVPs powered by ML, FastAPI backends for model serving, integrating models into web or mobile products, Dockerized deployment, and cloud integration.
Selected experience
🚀 Built and deployed medical imaging models for a healthcare AI startup, including a chest X-ray classifier with 95.5% F1 and a dual-view breast cancer model with 85% F1 plus tumor localization.
🚀 Improved a satellite object detection system from 84.5% to 92.0% mAP@50 by replacing a YOLOv8 baseline with RF-DETR and building analysis and deployment workflows around it.
🚀 Developed a video computer vision pipeline for golf swing analysis using LSTM, MediaPipe, YOLOv8, OpenCV, FastAPI, and GCP.
🚀 Built ML workflows using Airflow, MLflow, ONNX, TensorRT, and Triton.
🚀 Contributed to the Ivy open-source library.
Tech stack
💻 Languages: Python, C++, SQL
🧠 Frameworks/Libraries: PyTorch, OpenCV, Transformers, TensorFlow, MediaPipe, FastAPI
⚙️ Deployment/Infrastructure: Docker, Airflow, MLflow, ONNX, TensorRT, Triton, Linux, GCP, AWS
🗄️ Other tools: PostgreSQL, Git, LangChain
How I work
✅ I care about more than just training a model. I focus on building systems that are accurate, practical, maintainable, and ready for real users.
✅ Whether you need help with an ML prototype, a deployed computer vision system, or improving an existing model, I can help move your project from idea to working solution.
📩 Send me a message with your project details, and let’s discuss how I can help.
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Understanding the sport to be analyzed
In this step, we will understand the sport, how it is played, and the best techniques for each movement. This will help us in building models aligned with our vision.
Searching for models and datasets
Sometimes, there are open-source solutions that can be helpful to use instead of reinventing the wheel.