Inspiration : It's difficult for a common man to have all the knowledge about the stock market. What should he do if he wants to invest in some stocks? How will he know that he will be in profit or in loss?

What it does : Suggest Users that they should buy/sell the stocks

How we built it : Using Time-series data and implementing LSTM model. Also, using pywebio for frontend

Challenges we ran into : Collecting dataset, finding good accuracy model

Accomplishments that we're proud of : Highly accurate model. As it is financial problem statement so accuracy is important

What we learned : Trends to observer in Time-Series data. How Markov chains work

What's next for Stocks Guide : To build better frontend for the project and to include more features and more data

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