A full stack application that was created for users to be able to enter a stock price and recieve an analysis of the stocks future price based on the data presented, this was created for the CPS731 final group project.
- The Front end and Back end was created using web technologies, specifically ReactJs, NodeJs, and MongoDB.
- Developed Binary ML pipelines that modeled stock price data and modeled predicitions. Basing predicitons off of past prices. Python libraries such as Pandas, Numpy, TensorFlow, Keras, and matplotlib. Model can be found within backend/model.py.
- API's used for storing and extracting training set data for predicitons from the database.
Registration Page
Ticker Search
Example
