Mello Student Guide

A tool that allows students to be financially independent by predicting the future of stocks in a 30 day period. It also displays the estimated salary of a job based off of experience and education.

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Inspiration

We were inspired to make this project by the motive of people trying to work and go to school: to grow up and find a job to make money. We have seen many people try to make money or find a good financial foothold, however, it has not been possible for them because of the lack of opportunities. We visioned that if we made opportunities for the growing public, we can help the next generation of adults and developers to learn how to manage money very well and understand what to do with their education.

What it does

Mello consists of two important parts -- a stock predictor and a career/education guide. The stock predictor predicts the price of a stock in the next 30 days by fetching the price of the stock from the past 12 years from Yahoo Finance. This way students can learn how to manage their money and gain financial independence with the use of a simple machine learning algorithm. The second part of Mello, the career and education guide, allows students to plug in the country where they might work, their college degree, and the years of experience, to estimate the salary. This tool allows students to choose what degree they want in their college life: a master's or bachelors. It also allows students to choose which country they want to work in. We got this data from the stack overflow annual survey with 80000+ participants.

How we built it

We used Jupyter Notebook to write the ML code and make a Keras Tensorflow model. We then used it to make a python web app using streamlit.

Challenges we ran into

A challenge that we ran into was that the ML would not work because of TensorFlow installation, which was solved by creating a new environment with a newer version of TensorFlow installed that allowed the stock prediction machine learning model to work properly.

Accomplishments that we're proud of

We are proud that we were able to make an Ml app that predicts stock and estimates salary, as well as an opportunity for students to be able to make an educated decision for their financial and educational future.

What we learned

We learned how to make a web app with streamlit and how to use anaconda to create a python environment, and how to predict the stock market whilst applying real-world data in our design.

What's next for Mello Student Guide

We will add more jobs to choose from in our web app, such as doctors, engineers, veterinarians, pediatricians, etc. It will have more variety for all kinds of students to choose from.

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