I will build and deploy a machine learning model with fastapi and streamlit

J
janavarshinig
J
janavarshinig
Janavarshini

About this gig

Struggling to turn your data into something usable, or want to see your machine learning idea actually working as a live app? I build and deploy functional ML-powered web applications using Python, FastAPI, and Streamlit turning raw datasets into real, working tools your users or team can interact with.


What I do:

  • Clean and prepare your dataset
  • Train an appropriate ML model (regression, classification, or prediction-based, depending on your use case)
  • Build a clean, functional web interface using Streamlit
  • Deploy it live so you or your team can use it immediately
  • Provide fine-tuning and source code (Standard & Premium tiers)


Why work with me:

I'm a Computer Science graduate with hands-on experience building and deploying real ML applications including a live house price prediction app and a working API with real developer adoption. I focus on clean, functional builds rather than just theory, so what you get is something that actually works, not just a proof of concept.


Send me your dataset and requirements, and let's build something functional together. Message me before ordering if you have a unique use case happy to confirm scope first.

Get to know Janavarshini

Janavarshini

AI and Machine Learning Developer, Data Analyst, Python Developer

  • FromIndia
  • Member sinceMay 2026
  • Languages

    Tamil, English
I am an Information Technology graduate with hands-on experience in Python, Data Analytics, Machine Learning, AI, and Web Development. I work with Python, SQL, Power BI, FastAPI, Streamlit, Django, and modern web technologies to build practical and data-driven solutions. I have worked on projects involving Machine Learning, CNN-based image classification, Computer Vision, data analysis, dashboards, prediction systems, and full-stack applications. I focus on delivering clean, reliable, and easy-to-understand solutions based on each client's requirements.