🚘 Car IQ

AI-powered Car Recognition App

Snap or upload a photo of a car to identify its make, model, generation, and year with high accuracy.

🔎 About The Project

Car IQ is an iOS application that leverages deep learning and computer vision to detect and recognize cars from images. The user can take a picture of a car or upload one from their gallery, and the app will identify key attributes such as:

• 🚗 Make (e.g. Nissan)
• 🏷️ Model (e.g. GT-R)
• 🕓 Generation and Year Range (e.g. I (R35) facelift 3, 2016–2023)
• ✅ Confidence Score (e.g. 96%)

🚀 Built With

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📱 Features

• 📸 Snap or Upload Car Photo: Users can take a picture or upload an image of any car.
• 🔍 Car Recognition (Deep Learning and Computer Vision): CarNET API is used to return:
  • Car make
  • Car model
  • Car generation
  • Approximate production years
  • Confidence score
• 🛒 Smart Marketplace Integration: After identifying a car, users can browse similar cars for sale in their area with one tap.
• 🗃️ Feed-Style Listings UI: Car listings are shown in a sleek, scrollable feed layout, allowing users to browse previously scanned or saved vehicles effortlessly.
• 👤 User Authentication: Secure login and account management using Firebase Auth.
• ☁️ Cloud Storage: Stores uploaded photos and metadata in Firebase.
• 📅 Timestamping: Each entry is timestamped for record-keeping.

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🧰 Getting Started

To run this app locally:

Prerequisites

• macOS with Xcode installed
• Firebase project with Auth and Firestore
• CarNET API credentials

Setup

1. Clone the repository

git clone https://github.com/mingleg7756/cardentification.git
cd cardentification

2. Open the project in Xcode

open cardentification.xcodeproj

3. Replace the GoogleService-Info.plist file with your Firebase config

4. Update your own Config.xconfig with the necessary API keys or variables

5. Build and run on a real device or simulator

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👥 Team

Team Members

• Ming
• Anthony
• Anas
• Ye Htut
• Robert Neagu (Project Presenter)

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