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I will deploy your ml model as a fastapi and streamlit web app with docker
Sachinkumar P
About this gig
Do you have a trained ML model sitting in a Jupyter notebook that nobody else can use? I will turn it into a real web application that anyone can open in their browser.
I am an M.Tech student at IIT Roorkee with hands-on experience deploying deep learning models to production. I built a brain tumor classification app FastAPI backend, Streamlit frontend,
Docker Compose, deployed live on AWS EC2. That is not a tutorial project. That is a working system.
What I will build for you:
- FastAPI backend your model receives input, runs inference,
returns predictions via a clean REST API endpoint
- Streamlit frontend users upload data or images and see
results instantly in their browser
- Docker Compose both services containerised and running
with one command, no dependency issues
- AWS EC2 deployment (Standard and Premium) your app live
on the internet with a public URL
What I need from you:
Your trained model file, a description of what input it expects,
and what output you want displayed.
Message me before ordering I will confirm I can handle your specific model within 24hrs
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Get to know Sachinkumar P
Sachinkumar P
MTech Student Healthcare ML Researcher
- FromIndia
- Member sinceAug 2026
Languages
Tamil, English
I build machine learning systems for real clinical problems, specializing in computational pathology and healthcare AI. With a background in biotechnology and experience at IISc and IIT Roorkee, I bridge the gap between biology and deep learning to develop tools that assist doctors in making better clinical decisions.
FAQ
Question: What model formats do you support?
I work with PyTorch (.pth), Scikit-learn (.pkl), TensorFlow (.h5), and ONNX formats. If you have a different format, message me first and I will confirm compatibility.
Do I need an AWS account for deployment?
Yes for Standard and Premium packages. AWS free tier is sufficient for most models — no cost needed. I will guide you through the setup if you do not have one already.
What if my model is too large for the free tier?
Message me with your model size before ordering. I will recommend the right EC2 instance type and give you an accurate cost estimate before you commit.
Can you train or improve my model?
This gig covers deployment only not training. If you need model training or improvement, message me and we can discuss a custom order.
Will I own the code after delivery?
Yes, you get full ownership of all code, Dockerfiles, and documentation. Everything is delivered via GitHub repository with you as the owner.
