You will get Build a Secure ML Dashboard + CSV Inference Pipeline
Top Rated
Top Rated
Project details
This project delivers a clean, secure machine learning dashboard that lets clients upload their own CSV files and instantly run AI predictions—without any coding. Built using Streamlit and Python, it’s lightweight, customizable, and production-ready. What sets this apart is the focus on security, simplicity, and speed—ideal for founders, analysts, or small teams testing AI without the overhead of large infrastructure.
Machine Learning Tools
Azure Machine Learning, ChatGPT, Databricks MLflow, GitHub Copilot, Google Data Studio, Google Sheets, GPT-3, Microsoft Excel, Microsoft Power BI, MLflow, NLTK, NumPy, pandas, Python, PyTorch, scikit-learn, SciPy, SQL, TensorFlow, TextBlob, XGBoostWhat's included
| Service Tiers |
Starter
$500
|
Standard
$750
|
Advanced
$1,250
|
|---|---|---|---|
| Delivery Time | 5 days | 4 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150
Additional Revision
+$75
Additional Model Variation
(+ 2 Days)
+$200
Additional Scenario
(+ 2 Days)
+$200
Additional Graph/Chart
(+ 1 Day)
+$100
Model Documentation
(+ 2 Days)
+$125
Data Source Connectivity
(+ 3 Days)
+$250
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EC
Esteban C.
Apr 19, 2026
Enterprise API Integration & Commercial Launch Readiness
We have been working with Jeffrey for over 4 months and the experience has been positive, the project evolves and when challenges arise, we are always able to align on how to do things feasible in a balanced way.
He's accountable and communicative which is a core topic for us.
He's accountable and communicative which is a core topic for us.
EC
Esteban C.
Feb 12, 2026
No-Code API-Based Verification MVP Development
EC
Esteban C.
Dec 23, 2025
No-Code API-Based Verification MVP Development
It's been great working with Jeffrey, he understood pretty well the purpose of what we are building and goes beyond when it come to sharing feedback and ideas to make things even better.
I feel he is transparent and professional with his approaches.
I feel he is transparent and professional with his approaches.
PK
Priti K.
Jul 21, 2025
VA Required to find land, plan a Robot-Run Farm and Home Project in Arkansas – Just Follow Steps
SF
Steve F.
Mar 4, 2025
60 Second Ad Copy
Jeff is an excellent writer, amazing freelancer, and so easy to work with! We recommend him with 5 big stars!
About Jeffrey
AI Engineer | Self-Improving AI Agents & Operational Automation
100%
Job Success
Auburn, United States - 6:42 pm local time
That is the gap I fill.
I design and deploy agentic AI systems, self-improving AI agents, and operational automation tools that connect to real business workflows: CRMs, databases, documents, dashboards, communications, reporting, sales processes, and internal operations.
My focus is not just building impressive demos. I build AI systems that can execute multi-step workflows, use memory, call tools, improve over time, and create measurable leverage inside a business.
I work with frameworks and tools including Hermes, OpenClaw, LangGraph, CrewAI, Claude Code, Anthropic tools, FastAPI, PostgreSQL, n8n, Twilio/WhatsApp workflows, and LLM-powered automation systems.
Through PhysicAI Labs, I help founders, agencies, and SMBs identify where AI can create immediate operational leverage, then architect and deploy the right system.
I’m an Expert-Vetted Upwork freelancer, Top 1%, with 16 years on the platform. My background combines AI engineering, business strategy, and emerging technology communication, including work alongside Microsoft, AWS, and enterprise technology teams.
If you need an AI system that works in production, not just in theory, I can help build it.
Steps for completing your project
After purchasing the project, send requirements so Jeffrey can start the project.
Delivery time starts when Jeffrey receives requirements from you.
Jeffrey works on your project following the steps below.
Revisions may occur after the delivery date.
Review client data & clarify prediction goal
I’ll confirm the use case (e.g., sentiment, churn) and prep the environment based on the sample CSV or request.
Build Streamlit dashboard with ML pipeline
I’ll create a secure dashboard that accepts CSV input, runs the selected model, and displays visual outputs.