Data-Driven Transparency for Car Ownership. Built by Revanth, Kamalaksha, & Raef.
Car maintenance is broken and opaque.
- "The Upsell": Mechanics often recommend unnecessary services to pad profits.
- "The Price Gap": Drivers rarely know that an independent shop might be $200 cheaper than a dealership for the same work.
- "The Data Void": Generic manuals don't account for modern driving conditions or specific model defects (like the Ram TRX transmission issues).
Vehicle Maintenance Intelligence is a smart advisor that uses data science to:
- Predict exactly what maintenance is needed based on mileage and model-specific failure rates.
- Compare real-time quotes between Dealerships (High Trust/High Price) and Local Experts (High Savings).
- Visualize the market with an interactive "Cartoon Mode" map to make logistics fun and easy.
We don't just read a PDF. We ingest a raw maintenance dataset and use a Python Logic Layer to clean and modernize it in real-time.
- Synthetic Oil Logic: Automatically adjusts oil change intervals from 5k to 10k miles for modern engines.
- Critical Alerts: Flags "Severity: High" for specific high-performance models (e.g., TRX Diff Fluid at 15k miles) that generic manuals miss.
A custom-styled Google Map implementation that strips away noise and focuses on what matters: Location & Price.
- Dynamic Geocoding: Converts any user Zip Code into real coordinates using
Geopy. - Simulated Reality: Mathematically places shops around the user's specific location to demonstrate hyper-local convenience.
- Visuals: Uses a custom JSON style to render a "Video Game/Sim City" look (Bright yellow roads, blue water).
Our backend algorithm calculates realistic price quotes based on:
- Labor Rates: Automatically adjusted for Dealer vs. Independent.
- Luxury Tax: Inputs like "BMW" or "Mercedes" trigger higher parts cost multipliers (1.5x).
- Risk Factors: Quotes include a "Trust Score" derived from shop reputation logic.
- Framework: React (Create React App) + TypeScript
- Styling: Tailwind CSS + Lucide Icons
- Maps: Google Maps JavaScript API +
@react-google-maps/api - Vibes: Custom "Retro" Map Style JSON
- Framework: Python FastAPI
- Database: SQLite + SQLModel (ORM)
- Data Processing: Pandas (for CSV ingestion & logic application)
- Geo-Location:
geopy(for Zip Code conversion) - AI/Logic: OpenAI GPT-4o (Integration ready)
- Node.js & npm
- Python 3.9+
- Google Maps API Key
- OpenAI API Key