AdvancedSoftware trackAID-ARTIFI-P07

AI Fraud Detection for Fintech

Build AI Fraud Detection for Fintech end to end using Python, LangGraph, LLM API, vector DB, 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 & AnalyticsArtificial Intelligence

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

Core Tech Stack:PythonFastAPILangGraphLLM APIvector DB

Program Overview

What you submit

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

Stack: Python, LangGraph, LLM API, vector DB, 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.