✈️ Flight Fare Prediction (Machine Learning + Flask)

A Machine Learning Web Application built with Flask to predict flight fares based on user-selected options like airline, city, departure time, number of stops, class, etc.

This project demonstrates:

• End-to-end integration of ML models within a Flask web app.
• Clean and user-friendly Bootstrap-based UI.
• Use of Random Forest Regressor for prediction.

---

🚀 Live Demo

(hosted on render) https://flight-price-prediction-8wup.onrender.com/

---

📂 Project Structure

flight-price-prediction/
│
├── app.py                # Main Flask App
├── fly1.csv               # Dataset (Encoded CSV)
├── requirements.txt       # Python dependencies
│
├── templates/
│   └── flight.html        # Frontend HTML (Bootstrap + Styling)
│
└── static/
    └── style.css (optional) # We have used inline CSS in flight.html

---

🛠️ Tech Stack

• Python
• Flask
• Pandas
• Scikit-Learn
• HTML / CSS / Bootstrap 4

---

📊 Dataset (fly1.csv)

Your dataset contains categorical numerical encodings:

Column Name	Description
airline	Airline (Encoded ID)
source_city	Source City (Encoded ID)
departure_time	Departure Time (Encoded)
stops	Stops (Encoded)
arrival_time	Arrival Time (Encoded)
destination_city	Destination (Encoded)
classs	Class (1: Economy, 2: Business)
price	Ticket Price (Target)

---

🔥 How to Run Locally

1️⃣ Clone the Repository

git clone https://github.com/lovnishverma/flight-price-prediction.git
cd flight-price-prediction

2️⃣ Create a Virtual Environment (Optional but Recommended)

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3️⃣ Install Dependencies

pip install -r requirements.txt

4️⃣ Run the Flask App

python app.py

Visit: http://127.0.0.1:5000/

---

📷 Screenshots

Home Page	Prediction Result

---

📌 Sample Prediction Flow

1. Select Airline, Source, Destination, etc.
2. Submit the form.
3. App predicts & shows estimated fare in INR.

---

🛡️ Requirements (requirements.txt)

flask
pandas
scikit-learn

---

🧑‍💻 Author

Lovnish Verma GitHub

---

📄 License

This project is licensed under the MIT License — feel free to use, modify, and share.

---

🚀 Deployment Guide: Flask ML App on Render.com

---

✅ Prerequisites:

1. Render Account: Sign up at https://render.com
2. Your project must be pushed to GitHub (Public or Private).

---

📂 Recommended Project Structure (Render-friendly)

flight-price-prediction/
│
├── app.py
├── fly1.csv
├── requirements.txt
├── templates/
│   └── flight.html
├── static/
│   └── style.css (optional)
└── .render.yaml      <-- Important for auto-deployment (optional)

---

🔧 1️⃣ Ensure These Files Exist:

requirements.txt ✅

flask
pandas
scikit-learn

.render.yaml (Optional for automated deployment)

services:
  - type: web
    name: flight-fare-app
    env: python
    buildCommand: ""
    startCommand: python app.py
    plan: free

---

📝 2️⃣ Update app.py for Production

Change:

app.run(debug=True)

To:

app.run(host='0.0.0.0', port=10000)

Render exposes port 10000 by default.

---

🪄 3️⃣ Deploy on Render

Step-by-step:

1. Go to: https://dashboard.render.com/

2. Click "New Web Service"

3. Connect to GitHub Repository

4. Fill in the details:

   • Name: flight-fare-app (or your choice)

   • Environment: Python

   • Build Command: leave empty (requirements.txt handles it)

   • Start Command:

     python app.py

   • Environment Variables: Not needed here.

5. Click Create Web Service

6. Wait for deployment (Render will auto-install dependencies).

---

🚨 Common Issue on Render:

• Static / Templates not found: Ensure your folder names are exactly templates/ and static/
• File not found (CSV): Ensure fly1.csv is committed and in the root directory.

---

🌐 4️⃣ Access Your App

Render will provide you a live URL like:

https://flight-fare-app.onrender.com

---

📌 5️⃣ Optional .gitignore

venv/
__pycache__/
*.pyc

---

✅ Final Checklist Before Push to GitHub:

• app.py
• requirements.txt
• templates/flight.html
• fly1.csv
• .render.yaml (optional but clean)
• static/style.css (optional)
• .gitignore

---

🏁 Example Final URL:

https://flight-fare-app.onrender.com

---