For the Moneycontrol Budget Hackabot Challenge, we developed a web based chat-bot to address the second problem statement which is the ‘Gamification for Personal Finance’. There are two parts of the problem and in this README we also highlight the approaches we used to solve them. You can view the web-based bot: https://pihackabot.mybluemix.net.

• Quiz – to put the financial knowledge of the user to test.
• FAQs – for users to obtain knowledge of basic as well as advanced concepts.
• Daily Read Subscription – Recommends a Moneycontrol.com article everyday to the user.
• Calculators – built in with various calculators (such as EMI, Crorepati Calculator, Asset Allocator, Gratuity Calculator, etc)

The predictor is built on a Linear Regression model. The features we are taking into consideration are the stock’s 1. Opening Price 2. Day’s High, and 3. Day’s Low to predict the closing price, which in turn serves as a measure to consider buying or selling the asset. The Jupyter Notebook can be found in ./predictor containing main.ipynb and the TSLA.csv which we used to train the model.

• Served via IBM Bluemix
• Built using IBM Watson Conversation Service
• Data/Resource via Moneycontrol.com & Investopedia.com
• TSLA 6 mo dataset via Yahoo! Finance

1. Clone the repository to run the package into the local Node.js runtime environment:

   npm install

2. Start the app:

   npm start

3. Point your browser to http://localhost:3000 to try out the app.

Built by Yash Mahalwal and Abhishek Warokar