IntermediateSoftware trackAID-MACHIN-P05

Fraud Detection System for Payments

Build Fraud Detection System for Payments end to end using Python, scikit-learn, PyTorch, MLflow, FastAPI. Ten guided workspace steps take you from requirements to a deployed, AI-graded deliverable. Submit: GitHub repo + live demo/Colab + README + metrics report.

AI, Data & AnalyticsMachine Learning

10 Guided Steps120h Internship TierSubmit: GitHub repo + live demo/Colab + README + metrics reportVerified CertificateAI Rubric Graded

Core Tech Stack:PythonPyTorchFastAPIscikit-learnMLflow

Program Overview

What you submit

GitHub repo + live demo/Colab + README + metrics report

Stack: Python, scikit-learn, PyTorch, MLflow, FastAPI

How it is graded

Signals: Repo builds & tests pass; metric threshold; deployment reachable; README; commits

Functionality & requirements30
Technical quality & architecture25
Documentation15
Deployment & evidence15
Innovation10
Presentation5

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes

Graded on: Repo builds & tests pass; metric threshold; deployment reachable; README; commits. Pass 60% · Merit 75% · Distinction 90%.

Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.