Requirement points:

1. Ubuntu 16.04 server
2. One AWS account
3. Alexa developer console

Access keys requirements

1. Generate Access key and secret key using aws iam console.
2. Generate google maps api key

Cloud services that we are going to use

1. AWS lambda(For serverless compute)
2. AWS dynamo DB(for NoSQL database service)
3. AWS SNS service(for messaging and notification service)
4. S3(for static data files storage)
5. AWS IOT endpoint (using mqtt and iot endpoint transmitting data to police control dasgboard)

Machine learning, NLP,NLU use

1. For user speech and emotion analysis using tensorflow

####Softwares needs to be installed on server

1. setup virtual environement for python
2. apt-get install awscli
3. pip install boto3
4. pip install flask
5. pip install boto3
6. pip install pytz
7. pip install requests

###configure aws credentials

• execute command 'aws configure'
• AWS Access Key ID [****************L4WQ]: AWS_ACCESS_ID
• AWS Secret Access Key [****************YXwd]: AWS_SECRET_KEY
• Default region name [us-east-1]: REGION_NAME
• Default output format [json]: JSON

#####Alexa configuration and setup

• After setting up alexa developer account use following option:

1. create alexa skill and copy-paste json data(it contains user utterances and intents) which is located at Hackathon-Git-Data/AlexaFile/speech.json
2. Paste lamnda code in lambda editor Hackathon-Git-Data/AlexaFile/lambda.py

########### Dynamo DB #######

• database: 2 tables
• registration

{ "appid": "irj-2", "city": "jaipur", "country": "india", "demo_desc": "only known", "id": 2, "latitude": "26.879214", "longitude": "75.804782", "name": "user2", "password": "pass2", "state": "rajasthan", "user_mobile": "+918888578393", "username": "user2", "zipcode": 303329 }

• report

{ "appid": "irj-99", "latitude": "26.887594", "longitude": "75.813964", "time": "20180312-2023" } ########## place html content in /var/www/html