You will get a Fast ML Model API Service
Project details
You will get a clean, fast, and easy-to-integrate ML prediction API using FastAPI or Flask. Your API will include clean JSON input/output, optional input validation, testing examples, and full source code. Perfect for websites, apps, automations, and internal tools.
Machine Learning Tools
ChatGPT, NumPy, pandas, Python, Python Scikit-Learn, scikit-learnWhat's included
| Service Tiers |
Starter
$20
|
Standard
$40
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
About Swayam
Machine Learning Engineer
Nellore, India - 1:26 pm local time
I help companies turn their raw data into predictive models, automated workflows, and interactive AI dashboards.
Every project I deliver is production-ready, easy to use, and built with a clear business outcome in mind — not just academic ML experiments.
🔹 What I Can Build for You
Predictive ML models (churn, lead scoring, conversions, fraud, customer behavior)
NLP systems (spam detection, sentiment analysis, text classification)
Complete ML pipelines — preprocessing → training → evaluation → deployment
Interactive dashboards using Streamlit (perfect for demos & internal tools)
Data cleaning & feature engineering for messy datasets
Python automation tools (ETL, data processing, API-based workflows)
🔹 What Makes My Work Different
End-to-end delivery — data → model → app → documentation
Clean, modular Python code following ML engineering best practices
Business-first approach (I focus on your use-case, not just accuracy metrics)
Clear evaluation with AUC, F1, confusion matrix, ROC curves, and threshold tuning
Streamlit deployment so you get a working web app, not just a notebook
Fast responses, clear communication, and on-time delivery
I’ve built multiple real ML applications including a Customer Churn Prediction System, Email Spam Classifier, and Sentiment Analysis App — all structured for real-world business use.
🔹 Tech Stack
Python • Scikit-Learn • Pandas • NumPy • Streamlit • Matplotlib
Machine Learning • NLP • Predictive Analytics • ETL Pipelines • Model Deployment
🔹 Why Clients Hire Me
✓ You get a real working ML app, not just code
✓ You get clean, documented deliverables
✓ You get business-friendly explanations, not complex jargon
✓ You get fast turnaround and reliable support
If you need a predictive model, a Streamlit dashboard, or a custom ML automation, I can build it quickly and professionally.
🟢 Let’s build something valuable.
Send me a message — I reply fast.
Steps for completing your project
After purchasing the project, send requirements so Swayam can start the project.
Delivery time starts when Swayam receives requirements from you.
Swayam works on your project following the steps below.
Revisions may occur after the delivery date.
Review your dataset or model and understand the API requirements
Create a clean FastAPI/Flask structure