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$
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I will develop professional ai dashboards with python and streamlit
Fatima Arshad
About this gig
Strategic AI Applications with Python & Streamlit
Stop building "simple" scripts. I develop production-grade AI Web Apps that scale and provide real business value.
Technical Specializations:
- Custom Dashboards: Multi-page, state-managed Streamlit interfaces.
- LLM Integration: Seamless connection with GPT-4, Llama 3, and Hugging Face.
- Vector Intelligence (RAG): Implementation of Pinecone or ChromaDB for long-term AI memory.
- Data & Deployment: Secure SQL/NoSQL integration and live hosting on AWS, Heroku, or Streamlit Cloud.
Why Choose This Service?
- Architectural Focus: I prioritize backend efficiency to reduce latency.
- Deployment-Ready: You get a live, functioning URL, not just a script.
- Scalable Logic: Professional Python standards for easy future updates.
The Workflow:
- Architecture Design -> 2. AI Integration -> 3. UI Optimization -> 4. Live Deployment.
Important: Due to technical complexity, please message me before ordering to discuss your specific API and scope requirements.
Get to know Fatima Arshad
Fatima Arshad
TECH PROGRAMMER
- FromPakistan
- Member sinceJan 2026
- Avg. response time1 hour
Languages
English
I am a Python coder and AI developer with hands-on experience in building Streamlit web applications. I create simple, efficient, and interactive apps for data analysis, automation, and AI-based solutions. I am always eager to learn new technologies and deliver the best results according to client requirements.
FAQ
Which AI models do you work with?
I primarily work with models from Hugging Face (Inference API) and OpenAI. Whether you need an LLM for text generation, a vision model, or a custom task-specific model, I can integrate it into your application using Python.
Do I need to provide my own API keys?
Yes, for the final deployment, you will need to provide your own API keys (e.g., Hugging Face or OpenAI). However, during the development and testing phase, I can use my own environment to ensure everything is working perfectly before handing it over.
Can you deploy the Streamlit app for me?
Absolutely! I can help you deploy your application on Streamlit Cloud for free, or guide you through setting it up on other platforms like Heroku or AWS. I ensure the app is live and fully functional before the order is marked complete.
Will I receive the full source code?
Yes, every package includes the full Python source code (.py files), along with a requirements.txt file so you can easily run or update the application in the future.
Can you build a custom UI for the AI app?
Yes! Using Streamlit, I create clean, modern, and responsive user interfaces. I can customize the layout, colors, and input widgets to match your specific needs or branding.
