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I will build ai powered streamlit web app with llm integration
Mansoor Ali
About this gig
Are you looking for a fully functional AI-powered web application built fast and delivered clean?
I build custom Streamlit web apps that connect your machine learning model to a live, interactive interface with optional LLM integration (LLaMA3 via Groq API) to auto-generate reports, summaries, or AI-driven insights directly from your app.
What I offer:
Custom Streamlit web app connected to your ML/DL model
Optional LLM-generated text/report output (Groq API + LLaMA3-70B)
Clean, responsive UI with real-time inference
Input validation and error handling
Deployment guidance (Streamlit Cloud / Hugging Face Spaces)
Proven results:
I've deployed 9+ live AI apps this way including a chest X-ray pneumonia detection tool that auto-generates full clinical PDF reports with Grad-CAM visual explanations, and a wildfire detection system with real-time satellite image analysis. Both are live and publicly demoed on Hugging Face.
Why work with me:
- Real deployed apps, not just local scripts or tutorials
- Fast, clear communication
- Clean, documented code you can maintain and extend
Tools I use: Streamlit, Python, TensorFlow/PyTorch, Groq API, LLaMA3-70B
Get to know Mansoor Ali
Mansoor Ali
- FromPakistan
- Member sinceJul 2025
- Avg. response time1 hour
Languages
English, Urdu, Hindi
Hi! I'm Mansoor Ali, a BS Artificial Intelligence student at UMT and a passionate Flutter Developer & Machine Learning Engineer. I specialize in building modern, responsive, and user-friendly mobile applications using Flutter, Firebase, REST APIs, and clean UI design. I also develop AI and Machine Learning solutions with Python, Scikit-learn, and TensorFlow. I have completed a Flutter development internship and built multiple real-world projects. My goal is to deliver high-quality, scalable, and reliable solutions that exceed client expectations.
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FAQ
What do I need to provide to get started?
Your trained model (or dataset if you need one built), a description of what output you want (predictions, reports, summaries), and any specific UI preferences.
Can I see a live example of this kind of app?
Yes check out my chest X-ray detection app here: huggingface.co/spaces/Mansoorrr/chest-xray-pneumonia-detector. It shows a Streamlit interface with LLM-generated report output in action.
Do I need my own Groq/LLaMA API key?
I can set things up using my own API access for development and testing. For your final deployed app, I'll guide you on getting your own free Groq API key so the app runs under your account long-term.
Will the app be deployed, or just delivered as code?
Basic includes source code only. Standard and Premium include full deployment guidance to Streamlit Cloud or Hugging Face Spaces so your app is live and accessible via a link.
Can you connect this to my existing app instead of building from scratch?
Yes Standard and Premium tiers include AI model integration into an existing app if you already have one.
