I will design a machine learning website with python, react, and streamlit

K
khadijashahid78
K
khadijashahid78
Khadija

About this gig

Welcome to my gig!

Are you looking for a custom, interactive machine learning website that combines the power of Python, the flexibility of Streamlit for backend and data visualization, and the modern interface of React for a smooth user experience? You're in the right place!

I specialize in building responsive, user-friendly ML web applications that allow you to deploy machine learning models with beautiful, interactive frontends perfect for data-driven startups, research projects, or business automation.

What I Offer:

  • End-to-end machine learning web app development using Python, Streamlit, and React
  • Data preprocessing, model integration, and interactive visualizations
  • Responsive and modern React UI with seamless backend integration
  • Deployment-ready, clean, and well-documented source code
  • Custom features tailored to your specific ML project needs

Why Choose Me?

  • Clear and timely communication
  • Clean, bug-free code with detailed docs
  • Fast delivery with unlimited revisions
  • Passionate about blending AI and elegant design

Please contact me before ordering to discuss your project requirements and ensure a perfect match. I'm excited to turn your ML vision into a reality!

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Get to know Khadija

Khadija
  • FromPakistan
  • Member sinceJul 2025
  • Languages

    Urdu, English
Hi, I’m Khadija – a passionate AI developer and full-stack engineer specializing in building production-ready AI web and mobile applications. I work with React, Flask, FastAPI, Flutter, Supabase, and cutting-edge ML/CV models like YOLOv8, OCR, NLP, and other AI/ML technologies. With a strong background in machine learning, deep learning, computer vision, natural language processing, and real-time app development, I help clients turn their ML models, research papers, AI ideas, and mobile/web app projects into fully functional, scalable solutions ready for real-world use. I focus on clean code

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