https://github.com/jimohola/flight-price-predict-deployment

Deploying Machine Learning Models via Microsoft Azure
https://github.com/jimohola/flight-price-predict-deployment

cloud-computing css data-analysis data-preprocessing data-visualization flask html machine-learning python3

Last synced: 3 months ago
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Deploying Machine Learning Models via Microsoft Azure

• Host: GitHub
• URL: https://github.com/jimohola/flight-price-predict-deployment
• Owner: jimohola
• Created: 2023-10-06T09:15:34.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2025-06-08T19:59:56.000Z (about 1 year ago)
• Last Synced: 2025-06-20T17:13:10.969Z (about 1 year ago)
• Topics: cloud-computing, css, data-analysis, data-preprocessing, data-visualization, flask, html, machine-learning, python3
• Language: Jupyter Notebook
• Homepage: https://fataiflight.azurewebsites.net/
• Size: 4.11 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Flight Price Prediction App

This web app predicts flight ticket prices using Indian airline data and a trained machine learning model.

### 🔍 Features

- Developed using **Python** and **Flask**

- Interactive form for user inputs (airline, route, stops, date/time)

- Predicts prices based on a trained **Random Forest model**

- Trained on Indian flight fare dataset from Kaggle

- Deployed using **Render** (free tier)

This project demonstrates end-to-end ML deployment with real-world prediction use cases.

🔗 **Live App**: [Visit on Render](https://flight-price-predict-deployment.onrender.com) 

![img](https://github.com/jimohola/Flight-Price-Predict-Deployment/assets/62597513/01b3d52e-a890-4dc0-aae3-f2b2cb56b1b7)