You will get an end-to-end Machine Learning web app using Streamlit and Python
Project details
Turn your raw Python Machine Learning models, scripts, or datasets into production-ready web applications deployed live on the cloud.
I specialize in building intuitive, interactive Streamlit UIs tailored to your ML workflows. Whether you need a simple prediction interface, complex feature pipelines, or cloud hosting, I deliver clean, well-structured, and bug-free code.
What you will get:
Custom Streamlit web interface with responsive input forms
Complete data pre-processing pipelines (ColumnTransformer, scaling, encoding)
Seamless model integration (Scikit-Learn, TensorFlow, XGBoost, PyTorch)
Environment & version mismatch bug fixes (e.g., pickle/sklearn errors)
GitHub repository setup with pinned dependencies (requirements.txt)
Live cloud deployment on Streamlit Community Cloud, Render, or Hugging Face
I specialize in building intuitive, interactive Streamlit UIs tailored to your ML workflows. Whether you need a simple prediction interface, complex feature pipelines, or cloud hosting, I deliver clean, well-structured, and bug-free code.
What you will get:
Custom Streamlit web interface with responsive input forms
Complete data pre-processing pipelines (ColumnTransformer, scaling, encoding)
Seamless model integration (Scikit-Learn, TensorFlow, XGBoost, PyTorch)
Environment & version mismatch bug fixes (e.g., pickle/sklearn errors)
GitHub repository setup with pinned dependencies (requirements.txt)
Live cloud deployment on Streamlit Community Cloud, Render, or Hugging Face
Machine Learning Tools
GitHub Copilot, NumPy, pandas, Python, scikit-learnWhat's included
| Service Tiers |
Starter
$30
|
Standard
$70
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 1 | 3 | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
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SM
Salah M.
Dec 15, 2025
Modifiée
Très bien
SM
Salah M.
Dec 14, 2025
UI/UX Designer pour Plateforme Web/Mobile (Figma) - Basé sur maquettes existantes
About Tanveer
AI Engineer | AI Automation | AI Agents | LLMs | Computer Vision
Gilgit, Pakistan - 10:12 am local time
I work with startups, agencies, researchers, and entrepreneurs to turn AI ideas into reliable, production-ready applications—from AI agents and LLM-powered chatbots to machine learning models, automation systems, and computer vision applications.
What I can build
AI Agents & Workflow Automation
ChatGPT / OpenAI / Groq Powered Applications
WhatsApp AI Chatbots & Virtual Assistants
Machine Learning Models (Classification, Regression, Prediction)
Computer Vision with OpenCV & Deep Learning
NLP Applications & Document Processing
Streamlit AI Dashboards & Internal Tools
REST API Integration & Model Deployment
Python Automation Scripts & Data Processing
My tech stack
Python • Scikit-learn • TensorFlow • PyTorch • OpenCV • Pandas • NumPy • Streamlit • FastAPI • Git/GitHub
Why clients work with me
Clean, scalable, and maintainable code
Well-documented projects with source code
Fast communication and reliable delivery
Business-focused AI solutions—not just prototypes
Ongoing support after project completion
Whether you need an AI chatbot, LLM-powered assistant, ML model, automation pipeline, or computer vision application, I'm ready to help turn your idea into a working product.
Let's build something intelligent together.
Steps for completing your project
After purchasing the project, send requirements so Tanveer can start the project.
Delivery time starts when Tanveer receives requirements from you.
Tanveer works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement & Model Analysis
Reviewing your model files (.pkl/.joblib), datasets, features, and target outputs to define app specs.
Streamlit App Development & UI Design
Building an intuitive Streamlit interface with interactive inputs, pre-processing pipelines, and real-time outputs.