You will get Computer Vision and deep learning projects using python
Project details
Hello, I Muhammad Sohail a five-star-rated seller here on Upwork
I will build you an Artificial Intelligent model for your college project or your business.
I can build the following types of models:
(1) Image Classification [CNN]
(2) Image Style Transfer
(3) Image Segmentation [U-Net]
(4) Object Detection
(5) Text Classification
(6) Question & Answer Model [Transformers & Haystack
I use Python as the first choice of programming language.
I have experience with many frameworks like,
(1) Tensorflow
(2) Pytorch
(3) Sklearn
(3) Pandas, Matplotlib, Seaborn, etc.
I have participated in many online competitions for AI/ML/DL, done a great job in many of them, and landed myself a couple of interviews.
I have done a course on AI/ML/DL by Andrew Ng from Coursera.
100% Satisfaction or No Money.
Thank you, Let's get started.
I will build you an Artificial Intelligent model for your college project or your business.
I can build the following types of models:
(1) Image Classification [CNN]
(2) Image Style Transfer
(3) Image Segmentation [U-Net]
(4) Object Detection
(5) Text Classification
(6) Question & Answer Model [Transformers & Haystack
I use Python as the first choice of programming language.
I have experience with many frameworks like,
(1) Tensorflow
(2) Pytorch
(3) Sklearn
(3) Pandas, Matplotlib, Seaborn, etc.
I have participated in many online competitions for AI/ML/DL, done a great job in many of them, and landed myself a couple of interviews.
I have done a course on AI/ML/DL by Andrew Ng from Coursera.
100% Satisfaction or No Money.
Thank you, Let's get started.
Machine Learning Tools
ChatGPT, GPT-3, Microsoft Excel, NumPy, OpenCV, Python, PyTorch, R, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$110
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code |
Frequently asked questions
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MA
Muhammad A.
May 29, 2026
Python Image Processing Specialist for Corn Root Analysis
AA
Abdallah A.
May 12, 2026
Arabic/English/Turkish Linguistic or NLP Researcher — 2-Hour Research Study ($20)
Great Work!. Well-done! Great evaluation with high quality and detailed description. Hard worker. Manage the time well. Respect and appreciate the financial matters. Clear communication and easy to communicate. I fully recommend client to hire him in the future especially in AI tasks or projects.
MR
MD. FARHANUR R.
Feb 10, 2026
Seamless App Datas
Thanks, good performance.
KW
Khalid W.
Jul 9, 2025
IoT Vulnerability Prediction and Analysis Framework Developer (Graduation Project)
IH
Imran H.
Jun 29, 2025
Snowflake Streamlit app needed
Excellent work
About Muhammad
AI Engineer | LLM Agents, RAG & Computer Vision
100%
Job Success
Dera Ghazi Khan, Pakistan - 8:54 am local time
If you need an LLM app that actually works in production — grounded answers, no hallucinations, controlled cost and latency — or a computer vision model running reliably at scale, I take it from idea to deployed system.
What I build for clients:
AI Agents & Multi-Agent Systems — autonomous, tool-using agents with LangChain, LangGraph, OpenAI & Groq
RAG & LLM Apps — retrieval-augmented chatbots with FAISS vector databases, reranking, and hallucination-resistant answers
Fine-Tuning & NLP Pipelines — domain-adapted LLMs, text classification, and AI-generated text detection
Computer Vision — real-time object detection & tracking with YOLOv8, CLIP, and OpenCV
Fintech & Predictive ML — XGBoost fraud detection, repayment prediction (AUC 0.9852), time-series forecasting
Rapid AI MVPs — Streamlit dashboards and end-to-end prototypes that get to value fast
Recent wins:
Built a Binoculars-style LLM text detection system (Qwen2.5) for an AI content verification client
Deployed a fintech repayment prediction model achieving AUC 0.9852 with XGBoost + SageMaker Autopilot
Built a multi-agent finance automation system using LangChain + Streamlit
Real-time object tracking system processing 30 FPS
Reduced prediction errors by 40% for an e-commerce client
Why clients trust me:
BS in Artificial Intelligence (Air University, Islamabad)
IEEE-published researcher — DAELocNet presented at AIIT 2025, Riyadh
Top Rated on Upwork with 100% Job Success Score
End-to-end ownership: data → model → deployment → clean handoff with documentation
Core stack:
Python · LangChain · LangGraph · OpenAI · Groq · RAG · FAISS · Vector Databases · Hugging Face · Fine-Tuning (LoRA/QLoRA) · YOLOv8 · CLIP · OpenCV · XGBoost · Time-Series Forecasting · Streamlit · FastAPI · PyTorch · Multi-Agent Systems · AI Integration
Building an AI agent, RAG system, LLM app, or computer vision pipeline? Send me your brief — I'll outline the best technical approach and a clear path to production.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering and Model Selection
Understand the client's needs, gather necessary data, and select the appropriate computer vision model or algorithm based on the requirements.
Model Development and Client Review
Develop the selected model, train it with the provided data, and present the results to the client for review. Address any revisions or feedback before final approval and payment.