Our application Facegram can generate a montage to show a sketch
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Goal 16
Facegram is made to solve a Residential Envrionment Crime.
It can create a safer residential environment in relation to urban crime. -
Goal 17
Facegram can rebuild existing criminal image Databases and create Efficient Montage.
It is expected to help solving missing cases and suspect prediction.
- Facegram generate a new montage with several keywords.
- Parameter: age, gender, face, hair, eyebrows, eyes, nose, mouth
- View what users have already picked.
This Solution can be used
- Creating Montage based on Witness Testimony / Explanation
- Rebuild existing Crimninal Image Databases and create efficient Montage
- Public purpose like Face Recognition, Face Assume, Arrest Criminal, Search for Missing Persons etc..
- Frontend: React Native, Expo
- Backend: Kotlin, Spring, MySql, OAuth2, Gcp Storage, Gcp Compute Engine, Docker
- A.I: Google Cloud, Pytorch, Colab, ML
- Frontend: Be sure to install node js and react native settings before starting.
npm start
will run the application. - Backend: First, you have to run Mysql database using dockerfile inside source code.
After then you can run Spring Framework code using some IDEs like IntelliJ. - A.I: Run the notebook file named "test.ipynb" in the order of its cells, one after the other.