Build Custom AI Apps with Python + GPT, LLMs by Iftekhar AhmedBuild Custom AI Apps with Python + GPT, LLMs by Iftekhar Ahmed
Build Custom AI Apps with Python + GPT, LLMsIftekhar Ahmed
I design and build custom AI-powered web apps tailored to your business needs — from intelligent document generators to chatbot integrations and AI process automation. With a strong background in Python, LLMs (like GPT & Ollama), and full-stack development, I turn your ideas into scalable, efficient solutions.
What's included
AI-Powered Web App
A fully functional AI application (e.g., chatbot, document generator, TSB tool) built with Python, Streamlit, or Flask, integrated with a local or remote LLM like Ollama or OpenAI.
Source Code & Documentation
Clean, well-commented source code delivered via GitHub or ZIP, with step-by-step instructions for setup, usage, and maintenance.
Model Integration
Seamless integration of a custom or pre-trained AI model (GPT, Ollama, etc.) into your app, with input/output handling and performance tuning.
Deployment Guide or Hosting
Deployment support or guide for running the app locally or on platforms like Streamlit Cloud, RunPod, or a custom VM (GCP/AWS).
I design and build custom AI-powered web apps tailored to your business needs — from intelligent document generators to chatbot integrations and AI process automation. With a strong background in Python, LLMs (like GPT & Ollama), and full-stack development, I turn your ideas into scalable, efficient solutions.
What's included
AI-Powered Web App
A fully functional AI application (e.g., chatbot, document generator, TSB tool) built with Python, Streamlit, or Flask, integrated with a local or remote LLM like Ollama or OpenAI.
Source Code & Documentation
Clean, well-commented source code delivered via GitHub or ZIP, with step-by-step instructions for setup, usage, and maintenance.
Model Integration
Seamless integration of a custom or pre-trained AI model (GPT, Ollama, etc.) into your app, with input/output handling and performance tuning.
Deployment Guide or Hosting
Deployment support or guide for running the app locally or on platforms like Streamlit Cloud, RunPod, or a custom VM (GCP/AWS).