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IEEE MEGA PROJECT 2023

TEAM

  • TEAM NAME: CODE SMITHS
  • TEAM MEMBERS:
    • Saahit Kamu [Brainitech] backend programmer
    • Devashish Komiya ML model
    • Nischal UI Designer

Domain

Machine Learning [LSTM]

Description

A machine learning framework that can predict and visualise stock investments based on a stock code of a specific company. This model uses the DASH library of python to provide the current stock details provided by yfinance python library.

TECH Stack

  • Language: Python
  • Back-end Tools: DASH SKLearn
  • Front-end Tools: HTML CSS FLASK
  • Refference: here

Progress

Successfully implemented the idea after a few struggles with the ML model, few shortcuts had to be taken in order to overcome certain bugs with the model. Finalizing the UI design was tricky but thanks to @Nischal we over came it.

Execute Code

Prerequisites:

Python 3.11>

requirements.txt

  • Clone the repo to your local directory
  • Create a venv and install required libraries. {reffer requirements.txt}
  • Run main.py

Sample

Representation Representation

About

Group project in sem-1 for IEEE MEGA PROJECT

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