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
AI Engineer | LLMs, RAG & AI Agents | Computer Vision
100%
Job Success
Asyut, Egypt - 3:42 pm local time
My work includes multilingual RAG, document intelligence, AI agents, OCR + multimodal systems, and computer vision.
🏆 SELECTED RESULTS
• Improved an object detection system from 84.5% → 92.0% mAP@50
• Built and evaluated multilingual RAG pipelines using Recall@K, MRR and nDCG
• Built a multimodal OCR pipeline that outperformed Azure Document Intelligence while reducing processing cost
• Built an AI legal-compliance system producing traceable PASS / FAIL / REVIEW decisions with evidence and human review
🧠 LLMs, RAG & AI AGENTS
I can help you build:
✓ RAG systems over internal documents and knowledge bases
✓ AI agents that call APIs, tools and business systems
✓ Document extraction and document-understanding pipelines
✓ AI assistants with citations, validation and audit trails
✓ LLM/RAG evaluation and hallucination testing
✓ Embedding, retrieval and reranking optimization
✓ Multilingual AI systems
✓ OCR + LLM / multimodal pipelines
👁️ COMPUTER VISION
I also work on:
✓ Object detection and segmentation
✓ Multimodal vision models
✓ Model optimization and inference pipelines
✓ PyTorch and Triton deployment
🏢 EXPERIENCE
At Linde, I work on document intelligence and AI systems, including multilingual retrieval, embedding and reranking evaluation, OCR pipelines and multimodal document understanding.
My research background is in reliable AI. I have published peer-reviewed research in IEEE Access on adversarial robustness and study Data Science at LMU Munich as part of the relAI — Konrad Zuse School of Excellence in Reliable AI.
⚙️ HOW I WORK
I don't just connect an LLM API and call it an AI product.
I focus on:
✓ measurable evaluation
✓ reliable outputs
✓ traceability
✓ latency and cost
✓ maintainable production architecture
If you're building an AI product — or already have one that is hallucinating, unreliable, expensive, or difficult to scale — send me a message and tell me what you're trying to build.
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.