🚗 Vehicle Damage Assessment AI

AI-Powered Vehicle Damage Detection & Repair Cost Estimation System

A production-oriented AI application designed to automatically analyze vehicle damage from uploaded images, assess severity, estimate repair costs, and generate professional inspection reports using Computer Vision and Generative AI.

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📌 Problem Statement

Vehicle damage assessment is a critical step in insurance claims and automobile repair services. Traditional inspection methods are:

• Time-consuming
• Manual and labor-intensive
• Prone to human error
• Inconsistent across inspectors

An AI-powered solution can significantly improve inspection speed, consistency, and decision-making.

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🎯 Objective

To develop an intelligent AI-based vehicle inspection system that:

• Detects visible vehicle damage
• Identifies affected vehicle parts
• Estimates damage severity
• Predicts repair costs
• Generates professional AI-powered inspection reports

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🧠 System Overview

Vehicle Damage Assessment AI is an end-to-end AI application that:

• Accepts vehicle images uploaded by users
• Processes the image using YOLOv8
• Uses Google Gemini to analyze vehicle damage
• Predicts damage severity
• Estimates repair costs
• Generates an AI-powered inspection report
• Allows users to download the report through a Streamlit dashboard

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🔁 High-Level Workflow

Vehicle Image Upload

↓

Image Preprocessing

↓

YOLOv8 Damage Detection

↓

Google Gemini Analysis

↓

Damage Severity Prediction

↓

Repair Cost Estimation

↓

Inspection Report Generation

↓

Download Report

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🏗️ System Architecture

[Vehicle Image]
        ↓
[Image Preprocessing]
        ↓
[YOLOv8 Detection]
        ↓
[Gemini AI Analysis]
        ↓
[Severity Prediction]
        ↓
[Repair Cost Estimation]
        ↓
[Inspection Report]
        ↓
[Streamlit Dashboard]

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⚙️ Tech Stack

Layer	Technology
Programming Language	Python
Computer Vision	YOLOv8
Generative AI	Google Gemini
Frontend	Streamlit
Image Processing	OpenCV
Data Processing	NumPy
Version Control	Git & GitHub

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✨ Key Features

• Vehicle Image Upload
• AI Damage Detection
• Damage Severity Assessment
• Repair Cost Estimation
• AI-generated Inspection Report
• Report Download
• Interactive Streamlit Interface
• Fast and User-Friendly Design

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📊 System Output

The application provides:

• Damage Analysis
• Damaged Components
• Severity Level
• Repair Recommendations
• Estimated Repair Cost
• AI Inspection Report
• Downloadable Report

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📸 Screenshots

🔹 Home Page

🔹 Upload Vehicle Image

Repair Cost Estimation & Damage Analysis

🔹 Inspection Report

🔹 Download Report

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🚀 Getting Started

🔧 Prerequisites

• Python 3.10+
• pip

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📥 Installation

git clone https://github.com/Lokeswari3173/Vehicle-Damage-Assessment-AI.git

cd Vehicle-Damage-Assessment-AI

pip install -r requirements.txt

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▶️ Run the Application

streamlit run app.py

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🌐 Access

Open your browser and visit:

http://localhost:8501

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📁 Project Structure

Vehicle-Damage-Assessment-AI/
│
├── app.py
├── requirements.txt
├── utils/
├── screenshots/
├── README.md
└── LICENSE

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📈 Results & Impact

• Automates vehicle damage assessment
• Generates consistent AI-based inspection reports
• Reduces manual inspection effort
• Improves insurance claim processing
• Helps repair centers estimate repair costs faster
• Enhances customer experience with instant AI analysis

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🔮 Future Scope

• Video-based vehicle damage analysis
• Mobile application
• Cloud deployment (AWS/Azure/GCP)
• Insurance API integration
• OCR for vehicle registration details
• Multi-vehicle damage assessment
• PDF report customization
• Historical repair tracking

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🚘 Use Cases

• Insurance Companies
• Automobile Workshops
• Vehicle Inspection Centers
• Fleet Management
• Used Car Evaluation
• Smart Vehicle Assessment

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👩‍💻 Author

Mangasamudram Lokeswari

Data Science | Machine Learning | Generative AI

GitHub: https://github.com/Lokeswari3173

LinkedIn: (Add Your LinkedIn Profile)

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⭐ Support

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⭐ Star this repository

🍴 Fork it

📢 Share it with others

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📜 License

This project is open-source and available under the MIT License.