You will get Computer Vision, Deep Learning using CNN, TensorFlow & PyTorch in Python
Project details
If you’re exploring a computer vision or deep learning idea and want it done thoughtfully, you’re in the right place.
You don’t need to arrive with a perfect specification that’s what I’m paid for. We can start from raw data or even just an idea and turn it into a working solution.
Here’s how the workflow works:
Data analysis: Relevant features are extracted and represented thoughtfully; data analysis guides every decision of the project
Model selection & training: Models are chosen based on relevant features, not guessed
Validation & results: Performance metrics related to your goals are measured and explained clearly through relevant charts
Have an idea? Message me and let’s bring your computer vision project to life
You don’t need to arrive with a perfect specification that’s what I’m paid for. We can start from raw data or even just an idea and turn it into a working solution.
Here’s how the workflow works:
Data analysis: Relevant features are extracted and represented thoughtfully; data analysis guides every decision of the project
Model selection & training: Models are chosen based on relevant features, not guessed
Validation & results: Performance metrics related to your goals are measured and explained clearly through relevant charts
Have an idea? Message me and let’s bring your computer vision project to life
Machine Learning Tools
ArcGIS, Azure Machine Learning, ChatGPT, deeplearn.js, Deeplearning4j, Google AutoML, GPT-3, Keras, MATLAB, NumPy, OpenCV, pandas, Python, PyTorch, scikit-learn, SciPy, TensorFlow, Tesseract OCR, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$80
|
Standard
$200
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 6 days | 7 days |
Number of Revisions | 3 | 4 | Unlimited |
Number of Model Variations | 1 | 2 | |
Model Validation/Testing | - | - | |
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
About Muhammad
AI Engineer | Computer Vision, LLMs & Full-Stack Development
Islamabad, Pakistan - 7:34 pm local time
What We Build:
1. Large Language Models & Generative AI
Fine-tuning and adapting LLMs for domain-specific applications
Developing intelligent assistants, evaluators, and workflow-driven conversational systems
Creating hybrid human+LLM evaluation frameworks and prompt optimization pipelines
2. Computer Vision & Geospatial AI
Object detection, segmentation, and OCR
HD mapping and semantic enrichment of road networks (OpenDRIVE, PostGIS, GeoPandas)
GPU optimization and real-time model deployment for autonomous systems
3. Intelligent Automation & Data Engineering
End-to-end data pipelines with Apache NiFi, Kafka, and Airflow
Scalable APIs and microservices for data ingestion, processing, and analytics
CI/CD automation and containerized deployments with Docker and FastAPI
4. Web Applications & Dashboards
Full-stack web apps with Next.js, React, Django, and Firebase (Auth, Firestore, Functions)
AI-integrated dashboards, competition platforms, and analytics tools
Seamless front-to-back integration of AI models into production web systems
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.
Data analysis & preparation
Data is the most essential component of any project, determines more than 70% of its success. I start by data analysis, and then applying feature engineering and representation, then identify any challenges or gaps in the dataset
Model selection & training
The rest of the 30% depends on choosing a good model. So I will choose models based on features and project goals. Then Train, tune, and compare models systematically