Develop a Web Interface for SBI Stock Price Prediction

[deepak00944]

🔹 Description

This issue involves creating a web-based interface to interact with the SBI Stock Price Prediction model. The website will allow users to input stock-related data and receive predicted stock prices based on the trained machine learning models.

📌 Website Features

Input Form: Users can enter relevant stock data (e.g., Open, High, Low, Volume).
Prediction Display: The predicted stock price will be displayed based on the selected model.
Model Selection: Dropdown or toggle to choose from different regression models.
Data Visualization: Graphs to show stock trends and predictions over time.

💻 Tech Stack Suggestion

Frontend: React.js (Preferred), Tailwind CSS / Bootstrap for styling.
Backend: Flask / FastAPI (for running the ML model).
Charting Library: Chart.js / D3.js for visualization.

🛠️ Skills Required

Frontend development (React.js, HTML, CSS, JavaScript)
Backend API development (Flask / FastAPI)
Data visualization (Chart.js / D3.js)
(Optional) Deployment (Netlify, Vercel, or Heroku)

🎯 Goal

Build an interactive and functional web application where users can utilize the SBI stock price prediction model.

[rohitinu6]

@deepak00944 start working on it and please do ensure to start the repo