You will get a scalable AI or data-driven web app
Project details
You will get a fully developed, deployed, and documented web or data-driven application tailored to your business or research needs.
Whether you need a dynamic web app, an AI-powered backend, or a cloud-ready API, I’ll help you transform your idea into a secure, scalable, and production-grade solution.
With hands-on experience in Flask, Docker, Kubernetes, and major cloud platforms (Azure, AWS, GCP), I specialize in building end-to-end systems that are clean, maintainable, and easy to scale. My workflow focuses on clarity, performance, and collaboration — you’ll always know what’s happening at every stage.
Whether you need a dynamic web app, an AI-powered backend, or a cloud-ready API, I’ll help you transform your idea into a secure, scalable, and production-grade solution.
With hands-on experience in Flask, Docker, Kubernetes, and major cloud platforms (Azure, AWS, GCP), I specialize in building end-to-end systems that are clean, maintainable, and easy to scale. My workflow focuses on clarity, performance, and collaboration — you’ll always know what’s happening at every stage.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation SystemAI Tools
Amazon SageMaker, Azure Machine Learning, Deeplearning4j, Google AutoML, Keras, MLflow, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$220
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 4 days |
Number of Revisions | 2 | 3 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $320About Fatima
Machine Learning Engineer| Data Scientist| Data Analyst, Canada
Toronto, Canada - 7:16 am local time
#Python #TensorFlow #Kubernetes #Docker #Azure #MLOps
Steps for completing your project
After purchasing the project, send requirements so Fatima can start the project.
Delivery time starts when Fatima receives requirements from you.
Fatima works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1- Requirement Gathering & Environment Setup
After purchase, I will review your project requirements and confirm all necessary details (framework preferences, deployment target, and design expectations). I’ll also set up the local and cloud environments to begin development.
Step 2 – Application Development
I’ll develop your web or backend application using Flask, Python, and Docker. This includes building core functionality, integrating APIs or ML models (if applicable), and ensuring a clean, maintainable codebase.