/StockPredictor

Uses a ML model to Predict and Compare the stock prices

Project-name

Stock Predictor

Team members

Mentors

Description

In this project, we aim to predict the future price of any desired stock/commodity with Maximum accuracy. We use a Machine Learning models for the prediction part. Furthermore, we have added functionalities like comparing the prediction of two stocks and prediction over a desirable time-frame.

The way this project works is, a user will enter the data of the stock they want to predict. The Historical Data of that stock is fed in the model. The model predicts the future price of that stock using algorithms and present it in the form of Chart. The user can compare this chart with prediction of other stocks and make the best decision.

Along with this, add the link of the drive folder that contains the app APK/Screenshots/Screen Recordings. If you have hosted your project on the web, add that link as well.

Technology stack

  1. Python
  2. HTML
  3. CSS
  4. JavaScript
  5. React.js
  6. MongoDB
  7. ML

Applications

This project can be used by Banks, Brokarage houses and also Retail Traders to understand the potential of a stock in very less time. This will reduce redundancies in their work and increase the conviction in a trade.

What did you learn from this project

  1. Rohan Sawai: It was an incredible experience for me. I got to learn how Machine Learning and Artificial intelligence can be used in Finance. Working on this project helped me improve my skills such as time-management, effective-communicaton. I would also thank our mentor for guiding us at every problem. Overall, it was an amazing experience.

  2. Santanu Kumar:

  3. Vishal Patil:

  4. Shivam Karpe:

Future scope

We will be working on this project to refine the prediction model. Better algorithms shall be used to increase the accuracies in prediction. Also wlii be working on frontend to improve the features.

Screenshots

Add a few screenshots here to give the viewer a quick idea of what your project looks like. After all, a picture speaks a thousand words.

You'll have to link the screenshots from your drive folder here.

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