You will get a production-ready Machine Learning Web App in Python, Streamlit & FastAPI
Project details
Hi! Have a trained model or raw data you want to turn into a working web app? You're in the right place.
I help startups, businesses, and researchers build clean, end-to-end Machine Learning web applications using Python, Streamlit, and FastAPI.
Whether you need a sleek dashboard to present to stakeholders or a fast API backend to connect with your app, I’ll build it for you with clean, scalable code.
🛠️ What I Offer:
ML Development: Classification, Regression & custom predictive models
Streamlit UI: Interactive dashboards with real-time graphs & instant predictions
FastAPI Backend: High-speed REST APIs with clear documentation
Data Prep & Validation: Cleaning, structuring, and testing model performance
Deployment Setup: Dockerizing and hosting on HuggingFace, Render, or AWS
📦 What You'll Receive:
Clean, well-commented Python Source Code
Fully functional Web App or API endpoint
Simple setup guide (requirements.txt & deployment instructions)
I focus on clear communication and writing modular code that’s easy to maintain.
Have questions? Send me a quick message—let's talk!
I help startups, businesses, and researchers build clean, end-to-end Machine Learning web applications using Python, Streamlit, and FastAPI.
Whether you need a sleek dashboard to present to stakeholders or a fast API backend to connect with your app, I’ll build it for you with clean, scalable code.
🛠️ What I Offer:
ML Development: Classification, Regression & custom predictive models
Streamlit UI: Interactive dashboards with real-time graphs & instant predictions
FastAPI Backend: High-speed REST APIs with clear documentation
Data Prep & Validation: Cleaning, structuring, and testing model performance
Deployment Setup: Dockerizing and hosting on HuggingFace, Render, or AWS
📦 What You'll Receive:
Clean, well-commented Python Source Code
Fully functional Web App or API endpoint
Simple setup guide (requirements.txt & deployment instructions)
I focus on clear communication and writing modular code that’s easy to maintain.
Have questions? Send me a quick message—let's talk!
Machine Learning Tools
Google Sheets, Microsoft Excel, NumPy, pandas, Python Scikit-Learn, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$45
|
Standard
$99
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 3 | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 6 | 9 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$15
Additional Graph/Chart
(+ 1 Day)
+$10Frequently asked questions
About Mj
AI & Machine Learning | Machine Learning, Python Scikit-Learn
Pabna Sadar, Bangladesh - 2:31 am local time
Steps for completing your project
After purchasing the project, send requirements so Mj can start the project.
Delivery time starts when Mj receives requirements from you.
Mj works on your project following the steps below.
Revisions may occur after the delivery date.
Tell me about your Machine Learning project and what you want to achieve.
Describe your project, expected functionality, dataset availability, and any technical preferences or business goals.
Please provide your project details and dataset.
Include your project goals, expected output, dataset (CSV, Excel, JSON, SQL if available), preferred technologies, and any reference materials.