🛂 US Visa Prediction Project

Predict US Visa application approval using Machine Learning & deploy via AWS CI/CD

---

📘 Overview

The US Visa Prediction Project predicts whether a US visa application will be approved or denied using Machine Learning techniques.
It analyzes historical visa data to identify key factors influencing visa approval decisions.

---

🎯 Project Objectives

• Predict approval/denial of US visa applications
• Identify important features impacting visa approval
• Provide insights for applicants and organizations

---

🧩 Key Features

1. Data Cleaning & Preprocessing
2. Exploratory Data Analysis (EDA)
3. Feature Engineering
4. Machine Learning Model Training
5. Model Evaluation & Visualization
6. Web/App Interface for Prediction (optional)

---

🛠 Tools You Need

Tool	Link
Anaconda	Download
VS Code	Download
Git	Download

---

🗂 Database Used

• MongoDB: Login

---

📁 Dataset

• Kaggle Dataset: EasyVisa Dataset

---

🚀 Project Workflow

1. constant
2. config_entity
3. artifact_entity
4. component
5. pipeline
6. app.py / demo.py

---

⚡ How to Run

Clone Repository

git clone https://github.com/rayhanhcse/Machine-Learning-Project.git
cd Machine-Learning-Project

Create & Activate Environment

conda create -n visa python=3.8 -y
conda activate visa

Install Dependencies

pip install -r requirements.txt

Export Environment Variables

Replace with your actual keys/URLs

export MONGODB_URL="your_mongodb_url"
export AWS_ACCESS_KEY_ID="your_aws_access_key_id"
export AWS_SECRET_ACCESS_KEY="your_aws_secret_access_key"

---

☁️ AWS CI/CD Deployment Steps

1️⃣ Login to AWS Console

2️⃣ Create IAM User for Deployment

• Permissions required:

  • EC2 Full Access
  • ECR Full Access

Deployment Steps:

1. Build Docker image of source code
2. Push Docker image to ECR
3. Launch EC2 instance
4. Pull Docker image from ECR
5. Run Docker image on EC2

---

3️⃣ Create ECR Repository

• Save URI: 315865595366.dkr.ecr.us-east-1.amazonaws.com/usvisarepo

---

4️⃣ Launch EC2 Instance (Ubuntu)

---

5️⃣ Install Docker on EC2

sudo apt-get update -y
sudo apt-get upgrade -y
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh
sudo usermod -aG docker ubuntu
newgrp docker

---

6️⃣ Configure EC2 as Self-Hosted GitHub Runner

• Go to GitHub → Settings → Actions → Runners → New self-hosted runner
• Choose OS and follow commands

---

7️⃣ Setup GitHub Secrets

Secret Name	Description
AWS_ACCESS_KEY_ID	AWS Access Key
AWS_SECRET_ACCESS_KEY	AWS Secret Key
AWS_DEFAULT_REGION	AWS Region (e.g., us-east-1)
ECR_REPO	ECR Repository URI
MONGODB_URL	MongoDB Connection URL

---

🌐 Flowchart Tool

• Whimsical

---

👨‍💻 Author

Rayhan Hussain 📧 Email: rayhanhcse@gmail.com 🌐 GitHub: rayhanhcse 💼 LinkedIn: rayhanchse

---

---