Skip to content

README.md

Latest commit

 

History

History
104 lines (75 loc) · 3.33 KB

README.md

File metadata and controls

104 lines (75 loc) · 3.33 KB

MoneyVest

MoneyVest is a personal finance management and investment tracking platform designed to help users make informed financial decisions. It offers tools for managing expenses, tracking investments, and predicting market trends.

Features

  • Expense Tracking
    Monitor and categorize your daily expenditures.

  • Investment Portfolio
    Manage and analyze your investments across various assets.

  • SIP Calculator
    Plan and calculate your Systematic Investment Plans.

  • Fixed Deposit Calculator
    Estimate returns on fixed deposits.

  • Gold & Silver Price Prediction
    Forecast precious metal prices using predictive models.

  • Stock Price Prediction
    Analyze and predict stock market trends.

  • Mutual Fund Tracking
    Keep track of your mutual fund investments.

  • Interactive Dashboard
    Visualize your financial data for better insights.

Technologies Used

  • Frontend: HTML, CSS, JavaScript
  • Backend: (Details not specified—add languages/frameworks/database here)
  • Machine Learning: Used for price prediction features
  • Deployment: Vercel

Project Structure

MoneyVest/
├── Chatbot/
├── Dashboard/
├── Expense/
├── Fixed Deposit/
├── Gold/
├── Gold Price Prediction/
├── MutualFund/
├── SIP/
├── Silver/
├── Silver Price Prediction/
├── Stock/
├── Stock_Prediction/
├── index.html
└── style.css

Getting Started

  1. Clone the repository:

    git clone https://github.com/omroy07/MoneyVest.git

  2. Navigate into the project directory:

    cd MoneyVest

  3. Explore the project: Open index.html in your browser to explore the frontend. For backend setup, refer to additional instructions if available.

Contributors

Name Role
Om Roy (@omroy07) Project Admin & Machine Learning Engineer – overseeing overall development, administrative tasks, and ML features
Kanisha Ravindra Sharma (@KanishaSharma11) Machine Learning Engineer – focused on ML development

Suggestions to Improve It Further

Section Recommendation
Backend Details Include the tech stack—e.g., Node.js, Express, Python, Django, Flask, or database choice (SQLite, MongoDB, PostgreSQL, etc.)
Installation & Development Add steps for installing dependencies (npm install, pip install -r requirements.txt) and running the development server
Usage Examples Showcase example commands or screenshots of the app in use
Testing Include instructions for running tests, if any
Deployment Mention CI/CD workflows or environment variables needed on Vercel
Contributing Guidelines Optional: add a CONTRIBUTING.md for more structured collaboration

Let me know if you’d like help drafting those additional sections or tailoring the README to your project's specifics—happy to assist further!