Moody

Moody is your very own personal mental health assistant. Whether you are sad, angry or depressed, Moody will have a a music/video suggestion for you that will immediately brighten up your day.

Try it out here

Video Demonstration

Documentation

• Ideation Document

• Presentation

Problem Statement

A person’s emotions and moods have direct bearings on his/her daily activities. It is necessary to eliminate negative emotions that our family or friends might be experiencing. Analysing soial media posts is a good way to help improve ones mental health.

Tools used

• Tweepy API to obtain tweets from Twitter.
• Watson Tone Analyzer to obtain emotions and Natural Language Understanding System to get keywords.
• Spotify API to suggest music.
• Youtube API to suggest videos.
• Watson Assistant as a chatbot for depressed users to communicate with.
• WebApp built using Flask framework deployed on IBM Cloud Foundry.

Instructions to run the code locally

1. Clone the repository.
2. Create a python virtual environment from the root directory and activate it.

$ virtualenv -p python3 venv
$ . venv/bin/activate 

3. Install the requirements specified in requirements.txt

$ pip install -r requirements.txt 

4. Download the env file containing the required environment variables from here

5. Place a copy of the env file in the web and workers directories.

6. Rename the env file in both the directories to .env

To start the web app.

$ cd web
$ python main.py

Open any browser window and type in http://localhost:5000

To start the workers.

$ cd workers
$ python <WORKER>.py 

Architecture

Motivation

This project was carried out by students from R.V College of Engineering as a part of the IBM Hack Challenge.