hossamhamzahm/identifying-egyptian-artifacts-landmarks-api

An API utilizing ResNet50 Architecture to identify Egyptian monuments/Landmarks and provide relevant information. The API aims to enhance tourists' experience by providing historical context and relevant information about the rich cultural heritage of Egypt. # Identifying-Egyptian-Artifacts-Landmarks-API ### Project Idea An API utilizing ResNet50 Architecture with Knowledge Transfer (KT) to identify Egyptian monuments/Landmarks and provide relevant information. The API aims to enhance tourists' experience by providing historical context and relevant information about the rich cultural heritage of Egypt. > Note: API may stop working after AWS free tier ends for my account > #### GET All Classes [GET]: identifying-egyptian-artifa… > #### Prediction Endpoint [POST]: identifying-egyptian-artifa… > #### GET Specific Classe using class id: [GET]: identifying-egyptian-artifa… > #### Search Using Class Name [GET]: identifying-egyptian-artifa…'search_keyword_without_quotes' > #### Dataset: kaggle.com ### Main objectives - Robust AI-powered image classification API capable of accurately classifying Egyptian artifacts and landmarks. - List classes availabe in the database with relevant information ### Technologies used in this project: - AWS (EC2) - Circleci - Docker - Python - Pytorch - Flask - PostgreSQL ### To be added: - Unit Testing - Linting/Prettier module > Note: No sensitive data are hardcoded in the code, instead it is passed through the environment variables in both amazon EC2 and CircleCI #### Database schemas ERD #### Documentation of all dependencies is found in the App dependencies.md file in the docs directory #### A screenshot of the last build is found the docs directory in the Github repository #### Documentation of the pipeline is found in the Pipeline process.md file in the docs directory > Click on the status icon to view the pipeline #### Architecture diagram for an overview of the infrastructure and the pipeline