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You will get a fully deployable, real-time fraud detection system using ML and kafka.

Ganasekhar K.Status: Offline
Ganasekhar K.
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Let a pro handle the details

Buy Machine Learning services from Ganasekhar, priced and ready to go.
Ganasekhar K.Status: Offline
Ganasekhar K.
Preview imagePreview imagePreview imagePreview imagePreview imagePreview imagePreview image

Let a pro handle the details

Buy Machine Learning services from Ganasekhar, priced and ready to go.

Project details

With this project, clients receive a fully containerized real-time fraud detection system using FastAPI, Kafka, MongoDB, Prometheus, and Grafana. The system automatically detects and flags fraudulent transactions using a machine learning model, providing fast and reliable results stored in MongoDB for audit and analysis. Clients benefit from reduced financial risks, instant fraud insights, and 24/7 observability through integrated monitoring dashboards. I provide proof of delivery through a working API, real-time metrics, detailed architecture documentation, and a complete codebase. The setup is scalable, easily deployable via Docker, and ready for production or demo presentations. Whether you need a real-time data analytics showcase or a fraud monitoring system, this project strengthens your portfolio and impresses stakeholders with technical depth and actionable results.
Machine Learning Tools
Apache Spark, Apache Spark MLlib, Azure Machine Learning, Kubeflow, NumPy, pandas, Python, scikit-learn, XGBoost
What's included
Service Tiers Starter
$50
Standard
$150
Advanced
$250
Delivery Time 1 day 1 day 2 days
Number of Revisions
123
Number of Model Variations
123
Number of Scenarios
123
Number of Graphs/Charts
245
Model Validation/Testing
Model Documentation
Data Source Connectivity
Source Code
Optional add-ons You can add these on the next page.
Fast Delivery
+$25
Additional Revision
+$20
Additional Model Variation (+ 1 Day)
+$25
Additional Scenario (+ 1 Day)
+$20
Additional Graph/Chart
+$20

Frequently asked questions

Ganasekhar K.Status: Offline

About Ganasekhar

Ganasekhar K.Status: Offline
AI & Machine Learning | Android, AOSP, Android App, Mobile App, API
Rajahmundry, India - 10:02 am local time
Passionate Machine Learning and Data science enthusiast with hands on experience in developing and deploying real-world ML models and interactive dashboards. Proven ability to build end-to-end ML pipelines, perform advance feature engineering, and implement scalable cloud deployments. Adept at extracting actionable insights to drive strategic decision-making, optimize processes and solve complex business challenges. Actively seeking opportunities to deliver impactful, data-driven solutions.

Steps for completing your project

After purchasing the project, send requirements so Ganasekhar can start the project.

Delivery time starts when Ganasekhar receives requirements from you.

Ganasekhar works on your project following the steps below.

Revisions may occur after the delivery date.

Project Setup & Requirement Gathering

Understand project goals, gather requirements, and set up the initial development environment with necessary tools like Kafka, MongoDB, and FastAPI for real-time fraud detection.

Model Integration & API Development

Integrate the trained fraud detection model into a FastAPI app and build API endpoints to send and receive transactions via Kafka.

Review the work, release payment, and leave feedback to Ganasekhar.