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Dynamo DB : After configuring AWS CLI, push data to dynamo_db using upload_data_to_dynamo.py\n4. Here's how the end to end pipe looks like\n\n![E2E flow](assets/Screenshot%202022-06-20%20213611.jpg)\n\n- Once the docker has been setup, you can run workload.py to execute the test-cases.\n\nSkeleton Forked from : https://github.com/nehavadnere/cse546-project-lambda\n\n#### LOCAL ENVIRONMENT SETUP\n\n - Create a new python environment\n - Run: `pip install -r requirements.txt`\n - Uncomment line 177 in handler.py to test in your non-docker IDE environment.\n- Execute `python handler.py`\n\n=======\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodlocker%2Faws-face-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodlocker%2Faws-face-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodlocker%2Faws-face-recognition/lists"}