⛽ FuelSense AI

AI-powered fuel price prediction platform built with Django, Machine Learning, and Live Market Data.

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📖 About

FuelSense AI is an AI-powered web application that predicts petrol prices using live market indicators such as Brent Crude Oil prices and the USD/INR exchange rate.

The project combines live market data, machine learning, and an intuitive dashboard to provide users with accurate fuel price predictions, confidence scores, expected price ranges, and market insights.

This project was built while learning Data Science, Machine Learning, and Django, with a focus on creating a clean, real-world web application.

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✨ Features

• 📈 AI-powered petrol price prediction
• 🌍 Live Brent Crude Oil prices
• 💱 Live USD/INR exchange rate
• 🤖 Random Forest Regression model
• 📊 Interactive Dashboard
• 📚 Prediction History
• 🎛 Market Scenario Simulator
• 📉 Petrol Price Trend Charts
• ⚡ Modern responsive UI
• 🔄 Live Market Refresh

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📸 Application Preview

🏠 Landing Page

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🧩 Technology Section

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📊 Dashboard

Dashboard Overview

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Live Market Center

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Petrol Price Trend

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🤖 Prediction Center

Fuel Price Prediction

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Live Market Signals

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📚 Prediction History

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ℹ️ About Page

Project Overview

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System Architecture

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🛠 Tech Stack

Frontend

• HTML5
• CSS3
• JavaScript

Backend

• Django
• Python

Machine Learning

• Scikit-Learn
• Pandas
• NumPy

Live Data Sources

• OilPriceAPI
• Frankfurter API
• World Bank

Model

• Random Forest Regression

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🧠 Machine Learning Workflow

Live Market APIs
        │
        ▼
 Market Data Processing
        │
        ▼
 Random Forest Regression
        │
        ▼
 Fuel Price Prediction
        │
        ▼
 Confidence Score + Expected Range

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📂 Project Structure

FuelSenseAI/

├── dataset/
├── docs/
├── fuelsense/
├── model/
├── predictor/
│   ├── services/
│   ├── static/
│   ├── templates/
│   └── views.py
│
├── screenshots/
├── manage.py
├── requirements.txt
└── README.md

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🚀 Installation

Clone the repository

git clone https://github.com/harshitdxt/FuelSenseAI.git

Move into the project

cd FuelSenseAI

Create virtual environment

python -m venv venv

Activate virtual environment

macOS / Linux

source venv/bin/activate

Windows

venv\Scripts\activate

Install dependencies

pip install -r requirements.txt

Run the development server

python manage.py runserver

Open

http://127.0.0.1:8000

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🚀 Future Improvements

• User Authentication
• Fuel Price Forecasting
• More Economic Indicators
• City-wise Analytics
• Model Retraining Pipeline
• Cloud Deployment
• Mobile Responsive Improvements
• Interactive Data Visualizations

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👨‍💻 Author

Harshit Dixit

AI & Web Developer

Building intelligent web applications with Machine Learning, Django, and Python.

GitHub: https://github.com/harshitdxt

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