SeYeol00/facegram

[GDSC Solution Challenge] Facegram All-Part Merged Repository

Facegram

KeyWord Mongtage Generator

Our application Facegram can generate a montage to show a sketch

Project Goals

Number 11, 16 from 17 GOALS

• 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.

Main Features

1. Generate Face Montage With Keywords.

• Facegram generate a new montage with several keywords.
• Parameter: age, gender, face, hair, eyebrows, eyes, nose, mouth

2. Viewing History.

• View what users have already picked.

Scenario

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..

Used Tech Stacks

• Frontend: React Native, Expo
• Backend: Kotlin, Spring, MySql, OAuth2, Gcp Storage, Gcp Compute Engine, Docker
• A.I: Google Cloud, Pytorch, Colab, ML

How to run Code

• 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.

Pesetation Video

Video Link