You will get a Custom AI prediction or Risk Scoring API using Python
Rising Talent
Rising Talent
Project details
Do you need predictive intelligence inside your product?
I build custom machine learning APIs that transform raw data into actionable predictions. This service is ideal for SaaS platforms, fintech products, analytics dashboards, and data-driven applications.
What I can develop:
• Risk scoring systems
• Demand forecasting
• Sales prediction
• Fraud detection models
• Customer churn prediction
• Weather-based analytics
• Time-series forecasting
• Custom scoring algorithms
What you receive:
• Data preprocessing pipeline
• Feature engineering
• Model training and validation
• REST API endpoint (FastAPI / Django)
• JSON-based responses
• Deployment-ready backend
Tech stack:
Python, FastAPI, Django, Scikit-learn, XGBoost, PostgreSQL, Docker-ready deployment.
If you are building a product that requires intelligent decision-making or predictive analytics, this service provides a clean and scalable backend solution.
I build custom machine learning APIs that transform raw data into actionable predictions. This service is ideal for SaaS platforms, fintech products, analytics dashboards, and data-driven applications.
What I can develop:
• Risk scoring systems
• Demand forecasting
• Sales prediction
• Fraud detection models
• Customer churn prediction
• Weather-based analytics
• Time-series forecasting
• Custom scoring algorithms
What you receive:
• Data preprocessing pipeline
• Feature engineering
• Model training and validation
• REST API endpoint (FastAPI / Django)
• JSON-based responses
• Deployment-ready backend
Tech stack:
Python, FastAPI, Django, Scikit-learn, XGBoost, PostgreSQL, Docker-ready deployment.
If you are building a product that requires intelligent decision-making or predictive analytics, this service provides a clean and scalable backend solution.
Machine Learning Tools
NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, TensorFlow, XGBoostWhat's included $199
These options are included with the project scope.
$199
- Delivery Time 10 days
- Number of Revisions 1
- Number of Model Variations 1
- Number of Scenarios 1
- Number of Graphs/Charts 0
- Model Validation/Testing
- Model Documentation
Optional add-ons
You can add these on the next page.
Fast 5 Days Delivery
+$80
Additional Revision
+$25
Additional Model Variation
(+ 3 Days)
+$120
Additional Scenario
(+ 2 Days)
+$90
Additional Graph/Chart
(+ 1 Day)
+$40
Data Source Connectivity
(+ 3 Days)
+$120
Source Code
+$200
Data Cleaning and preparation
(+ 3 Days)
+$80
Database Integration
(+ 1 Day)
+$120About Abdullah
Full-Stack Web Developer | Websites, APIs & AI Integration
Lahore, Pakistan - 4:18 am local time
Whether you're launching a new platform, improving an existing product, or replacing manual workflows with automation, I focus on building solutions that are scalable, maintainable, and ready for real users.
Recent work includes:
• Built and deployed 3+ live production platforms for businesses
• Developed 2 live AI-powered applications available for public use
• Built automation systems that replaced manual data collection and outreach workflows
• Generated 1000+ business leads through custom data extraction solutions
• Developed ride-sharing, logistics, analytics, and business management platforms
I can help with:
• Custom websites and web applications
• Business platforms and client portals
• API development and system integrations
• AI-powered features and automation workflows
• Data dashboards and analytics solutions
• Cross-platform mobile applications
I focus on clear communication, clean architecture, and delivering software that continues to perform long after deployment.
Steps for completing your project
After purchasing the project, send requirements so Abdullah can start the project.
Delivery time starts when Abdullah receives requirements from you.
Abdullah works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review & Planning
I review your use-case, dataset, and API requirements, then define the prediction approach and implementation plan.
Data Processing & Model Development
Data cleaning, feature engineering, model training, and validation to build an accurate prediction system.