You will get Streamlit Web App for Custom Machine Learning projects
Project details
Hello there! Are you looking for a supercharged Streamlit application for your data analytics, machine learning projects, or business? You're at the right place!
My name is Sohail and I'm a Data Scientist and Streamlit expert with 3+ years of industry experience. I specialize in creating dynamic, user-friendly applications using the Streamlit library in Python.
My services include:
Streamlit Application Development: I can create responsive, intuitive Streamlit applications that enable you to easily visualize and interact with your data.
Customization: I can tailor-make your Streamlit app to meet your specific requirements, adding widgets, sliders, or buttons as needed.
Data Analytics: I can create interactive dashboards for better data understanding.
Machine Learning Models: I can develop and integrate machine learning models in your Streamlit app to derive data-driven insights.
Why choose me?
Years of experience in Streamlit and Python.
Professional and fast service.
Complete customization according to your needs.
Unparalleled after-service support.
Exceptional communication and understanding of your requirements.
My name is Sohail and I'm a Data Scientist and Streamlit expert with 3+ years of industry experience. I specialize in creating dynamic, user-friendly applications using the Streamlit library in Python.
My services include:
Streamlit Application Development: I can create responsive, intuitive Streamlit applications that enable you to easily visualize and interact with your data.
Customization: I can tailor-make your Streamlit app to meet your specific requirements, adding widgets, sliders, or buttons as needed.
Data Analytics: I can create interactive dashboards for better data understanding.
Machine Learning Models: I can develop and integrate machine learning models in your Streamlit app to derive data-driven insights.
Why choose me?
Years of experience in Streamlit and Python.
Professional and fast service.
Complete customization according to your needs.
Unparalleled after-service support.
Exceptional communication and understanding of your requirements.
Machine Learning Tools
ChatGPT, GPT-3, NumPy, OpenCV, Python, R, Scrapy, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$90
|
Standard
$180
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 1 | 3 |
Number of Graphs/Charts | 5 | 10 | 15 |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code | - |
Frequently asked questions
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MA
Muhammad A.
May 29, 2026
Python Image Processing Specialist for Corn Root Analysis
AA
Abdallah A.
May 12, 2026
Arabic/English/Turkish Linguistic or NLP Researcher — 2-Hour Research Study ($20)
Great Work!. Well-done! Great evaluation with high quality and detailed description. Hard worker. Manage the time well. Respect and appreciate the financial matters. Clear communication and easy to communicate. I fully recommend client to hire him in the future especially in AI tasks or projects.
MR
MD. FARHANUR R.
Feb 10, 2026
Seamless App Datas
Thanks, good performance.
KW
Khalid W.
Jul 9, 2025
IoT Vulnerability Prediction and Analysis Framework Developer (Graduation Project)
IH
Imran H.
Jun 29, 2025
Snowflake Streamlit app needed
Excellent work
About Muhammad
AI Engineer | LLM Agents, RAG & Computer Vision
100%
Job Success
Dera Ghazi Khan, Pakistan - 2:23 am local time
If you need an LLM app that actually works in production — grounded answers, no hallucinations, controlled cost and latency — or a computer vision model running reliably at scale, I take it from idea to deployed system.
What I build for clients:
AI Agents & Multi-Agent Systems — autonomous, tool-using agents with LangChain, LangGraph, OpenAI & Groq
RAG & LLM Apps — retrieval-augmented chatbots with FAISS vector databases, reranking, and hallucination-resistant answers
Fine-Tuning & NLP Pipelines — domain-adapted LLMs, text classification, and AI-generated text detection
Computer Vision — real-time object detection & tracking with YOLOv8, CLIP, and OpenCV
Fintech & Predictive ML — XGBoost fraud detection, repayment prediction (AUC 0.9852), time-series forecasting
Rapid AI MVPs — Streamlit dashboards and end-to-end prototypes that get to value fast
Recent wins:
Built a Binoculars-style LLM text detection system (Qwen2.5) for an AI content verification client
Deployed a fintech repayment prediction model achieving AUC 0.9852 with XGBoost + SageMaker Autopilot
Built a multi-agent finance automation system using LangChain + Streamlit
Real-time object tracking system processing 30 FPS
Reduced prediction errors by 40% for an e-commerce client
Why clients trust me:
BS in Artificial Intelligence (Air University, Islamabad)
IEEE-published researcher — DAELocNet presented at AIIT 2025, Riyadh
Top Rated on Upwork with 100% Job Success Score
End-to-end ownership: data → model → deployment → clean handoff with documentation
Core stack:
Python · LangChain · LangGraph · OpenAI · Groq · RAG · FAISS · Vector Databases · Hugging Face · Fine-Tuning (LoRA/QLoRA) · YOLOv8 · CLIP · OpenCV · XGBoost · Time-Series Forecasting · Streamlit · FastAPI · PyTorch · Multi-Agent Systems · AI Integration
Building an AI agent, RAG system, LLM app, or computer vision pipeline? Send me your brief — I'll outline the best technical approach and a clear path to production.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering and Planning
Initiate the project by discussing and understanding the client's requirements, then document the project scope, deliverables, and timeline. Set up a project workroom for ongoing communication and updates.
Development and Testing:
Start with setting up the development environment and proceed with coding, focusing first on backend logic, followed by integrating Streamlit for the frontend. Ensure the application is interactive and user-friendly.