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Global Mobility Application Analyzer

Develop an automated system for analyzing and processing global mobility applications, streamlining the immigration and relocation process. This project focuses on building a complete ML pipeline to automate key aspects of the application review, leveraging feature engineering, model training, and deployment strategies for efficiency and accuracy.

20 lectures

What You Will Learn

Mastering the complete data science project lifecycle, from EDA to deployment.
Implementing robust data ingestion, validation, and transformation pipelines.
Building and tuning machine learning models for application analysis and prediction.
Setting up and managing AWS S3 buckets for production model storage.
Developing CI/CD pipelines for automated model deployment.
Implementing data drift detection to ensure model accuracy over time.

System Architecture

Global Mobility Application Analyzer Architecture Diagram

High-level architecture overview of the Global Mobility Application Analyzer .

What You'll Build

  • A robust Global Mobility Application Analyzer capable of predicting US Visa approval chances.
  • An automated Training Pipeline that handles data ingestion, validation, transformation, and model training.
  • A Prediction Pipeline exposed via a FastAPI web application for real-time user predictions.
  • Data drift detection system using Evidently.
  • Web application for model prediction and analysis using FastAPI.
  • A fully automated deployment workflow that builds Docker images and deploys them to AWS EC2 whenever code is pushed to GitHub.
Global Mobility Application Analyzer
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