Our application Facegram can generate a montage to show a sketch

• 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

1. Creating Montage based on Witness Testimony / Explanation
2. Rebuild existing Crimninal Image Databases and create efficient Montage
3. 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.

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