CrashSnap is a mobile application that utilizes computer vision technology to estimate car repair costs after an accident. Simply take a picture of the damage, and our AI model will analyze the image to predict repair costs and recommend the nearest repair shops. Not only that, CrashSnap also suggests appropriate repair actions either DIY fixes or professional repairs to guide you to make informed decisions after an incident. This is a final project for Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka Program.
CrashSnap APK . Explore the docs . App Demo · Report Bug · Request Feature
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According to otodriver in February 2024, there are 19.9M cars in Indonesia which is a lot of cars. With those large numbers, have you ever wondered how many car accidents happen in Indonesia each year?
Well to answer that question, there were a total of 5.467 car accidents in Indonesia last year. That’s a lot of accidents, have you ever thought about how long it will take to assess car damages manually? This statistic underscores the importance of having a reliable, efficient, and fast way to assess car damage and estimate repair costs.
CrashSnap is specifically designed to tackle that problem and ensures accurate, efficient, and user-friendly service for car damage assessment and repair cost estimation.
You can find CrashSnap's Machine Learning repository and documentation HERE
You can find CrashSnap's Mobile Developement repository and documentation HERE
You can find CrashSnap's Cloud Computing repository and documentation HERE
Our app is open source, any contributions a highly appreciated. To contribute to our app you can follow these steps:
- Fork the project
- Create feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push it to the branch (
git push origin feature/AmazingFeature) - Open a pull request
Distributed under the MIT License. See LICENSE for more information.
Felix Windriyareksa Hardyan - felix.hardyan@gmail.com
Muh. Wira Ramdhani Fadhil - muhwira907@gmail.com
Eka Yulianto - ekaidcamp07@gmail.com
Muhammad Faturihsan - faturihsann@gmail.com
Muhammad Ihsan Syafiul Umam - ihsansyafiul@gmail.com
