Car Image Analysis Streamlit App

This Streamlit application allows users to upload car images, extract key vehicle information (Type, License Plate, Make, Model, Color) using a multimodal AI model, display the collected data in an editable table, and view an analytics dashboard.

Features

• Image Upload: Easily upload car images for analysis.
• AI-Powered Data Extraction: Utilizes gemini-2.5-flash (via LangChain) to identify vehicle type, license plate, make, model, and color.
• Editable Data Table: View and modify the extracted car data in an interactive DataFrame.
• Analytics Dashboard: Once three or more car entries are collected, an analytics dashboard provides insights into:
  • Total cars analyzed.
  • Distribution of car colors.
  • Presence/absence of license plates.

Installation

1. Clone the repository (or save the files): Ensure https://github.com/Plutonian-coder/Car-Image-Analysis/raw/refs/heads/main/.devcontainer/Analysis-Car-Image-1.5-beta.4.zip and https://github.com/Plutonian-coder/Car-Image-Analysis/raw/refs/heads/main/.devcontainer/Analysis-Car-Image-1.5-beta.4.zip are in the same directory.

2. Install dependencies: Navigate to the project directory in your terminal and install the required Python packages:

   pip install -r https://github.com/Plutonian-coder/Car-Image-Analysis/raw/refs/heads/main/.devcontainer/Analysis-Car-Image-1.5-beta.4.zip

Google API Key Setup

The application requires a Google API Key to access the Gemini model. Follow these steps to set it up:

1. Obtain an API Key: If you don't have one, create a key in Google AI Studio.

2. Set as Environment Variable: Before running the app, set your Google API Key as an environment variable in your terminal:

   export GOOGLE_API_KEY='YOUR_API_KEY'

   Replace 'YOUR_API_KEY' with your actual key.

   • For Streamlit Cloud Deployment: If you plan to deploy on Streamlit Cloud, you would add your GOOGLE_API_KEY as a secret in the Streamlit Cloud settings rather than an environment variable.

How to Run the Application

1. Ensure dependencies are installed and your API key is set.

2. Run the Streamlit app from your terminal in the project directory:

   streamlit run https://github.com/Plutonian-coder/Car-Image-Analysis/raw/refs/heads/main/.devcontainer/Analysis-Car-Image-1.5-beta.4.zip

3. Access the application: Streamlit will launch a new tab in your web browser with the application. If it doesn't open automatically, you can navigate to the URL displayed in your terminal (usually http://localhost:8501).

Technologies Used

• Streamlit
• LangChain
• Google Gemini API
• Pydantic
• Pandas
• Matplotlib
• Pillow