ubaada / ai-birdwatcher-diary-aws

Bird autodetect diary hosted on AWS. Frontend (HTML-CSS-JS) & Backend(PHP-SQL & Python AI)

AI-Birdwatcher-Diary

Easier way of keeping record of your bird sightings by automatically recognizing the species from their images and storing them in a database.

Preview

Video demonstration of what deploying the project would look like on AWS.

Requirements

You need:

• Vagrant
• vagrant-aws plugin
• Git (optional)

Design

(Read aws-report.pdf for detailed info)

Deploying

Cd into folder you want this project to be and run

git clone https://github.com/ubaada/AI-Birdwatcher-Diary.git

(or you can download the .zip file directly from GitHub.)

1. Set up a Security Group in AWS console: Inbound Rules:

Type	Protocol	Port range	Source	Description - optional
HTTP	TCP	80	0.0.0.0/0	Public web access
HTTP	TCP	80	::/0	Allow all outbound traffic
All TCP	TCP	0 - 65535	[id-of-same-security group]	Inter-VM (ec2-db) Communication
SSH	TCP	22	0.0.0.0/0	SSH for admin

Outbound rules:

Type	Protocol	Port range	Source	Description - optional
All traffic	All	All	0.0.0.0/0	Allow all outbound traffic

2. Set up SSH: For SSH to work create a key-pair named “cosc349-l.pem” in AWS console. AWS does not allow SSH login via passwords. Place the key file in ~/.ssh
3. Create an AWS RDS MySQL database using AWS console.
4. Clone the git repo and CD into it. Edit the VMs in Vagrantfile to have your AWS Security Group.
5. Set up database details in .config/db-config.php file in the cloned repo:

 <?php
 $db_host   = '[end-point-here]:[port-number-usually-3306]';
 $db_name   = '';
 $db_user   = '';
 $db_passwd = '';
 ?>

6. Install vagrant-aws plugin: $ vagrant plugin install vagrant-aws
7. Set up the AWS environment variables for Vagrant to be able to talk with AWS.
8. Start Vagrant deployment: $ vagrant up --provider=aws