FuelFindr - Smart Gas Station

FuelFindr - Smart Gas Station

FuelFindr - Smart Gas Station

Personal Project

On-going

Data Science & Predictive Analytics Application

My Approach: FuelFindr

FuelFindr is a web and mobile platform that helps drivers find fuel fast and smart. It combines real-time station data, traffic insights and price comparisons with predictive refueling analytics powered by machine learning.

The app ensures users never waste time in long queues or arrive at empty stations, all while providing intelligent, data-driven recommendations based on individual driving patterns.

Vision and Innovation

To create a data-centric refueling ecosystem that integrates live fuel availability, price tracking, and predictive consumption analytics.
The vision - make refueling smarter, faster and more personalized for every driver.

Application Core Features

  1. Live Fuel Availability – Check if petrol, diesel or Power gas is available at nearby stations.

  2. Traffic Visualization – View real-time congestion and waiting time through map integration.

  3. Price Comparison – Instantly compare fuel prices across stations.

  4. Smart Recommendations – AI-driven suggestions based on your route, fuel type, and price sensitivity.

  5. Predictive Refueling Insights – Forecast your next refill using behavioral analytics.

  6. Power BI Dashboard – Visualize station trends, usage patterns, and performance metrics.

Machine Learning & Analytics Integration

  1. User Behavior Tracking: Logs visits, refueling frequency, and spending patterns.

  2. Clustering & Segmentation: Groups users into “Frequent,” “Moderate,” or “Light” drivers using K-Means.

  3. Recommendation Engine: Hybrid collaborative + content-based filtering to recommend nearby stations.

  4. Predictive Modeling: Regression and time-series forecasting (Prophet / ARIMA) to estimate refill intervals.

  5. Dashboard Visualization: Power BI displays fuel demand, user activity, and pricing trends in real time.

Predictive Refueling System

Each time a user fills gas, FuelFindr records gallons, price and timestamp.
From this, the app predicts when the next refill will likely occur based on average daily mileage and past refueling patterns.

For Example - You filled 12 gallons last week at $3.45/gal. Based on your average 35 miles/day usage, your next refill is expected in 7 days. The nearest open station is Speedway (0.8 mi, lowest price)

This feature transforms FuelFindr into a personal fuel assistant, leveraging data science to anticipate user needs and optimize refueling behavior.

Application Tools

  1. Frontend: React.js / Flutter

  2. Backend: Node.js (Express) / Python (FastAPI)

  3. Database: MongoDB / Firebase

  4. Machine Learning: Scikit-Learn, TensorFlow, LightFM, Prophet, ARIMA

  5. Visualization: Power BI

  6. Hosting: AWS / Azure Cloud

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© Copyright 2025. All rights Reserved.

© Copyright 2025. All rights Reserved.

Available for Work

Available for Work

Available for Work

Available for Work