Portfolio Management

Divya Nirankari

ML Engineer
Web Developer
Django
PostgreSQL
Python
Portfolio Management System is a robust web application built using Django, Python, CSS, JavaScript, and Bootstrap. It enables users to manage their investment portfolios, predict loan approvals, analyze stock market trends, and track detailed information about shares.

Key Features:

Investment Portfolio Management: Users can create and manage their investment portfolios, including stocks, bonds, and other assets. They can track the performance of their investments over time and analyze their portfolio diversification.
Loan Prediction: The system utilizes machine learning algorithms to predict loan approvals based on various factors, such as credit score, income, loan amount, and more. Users can input their details and receive predictions on loan approvals, aiding in financial planning.
Stock Market Analysis: Users can analyze stock market trends and make informed investment decisions. The system provides real-time data on stock prices, historical performance, and technical indicators. Users can also set up alerts for price changes and news updates.
Detailed Share Information: Users can access comprehensive details about individual shares, including company profiles, financial statements, earnings reports, and analyst recommendations. This information empowers users to make well-informed investment decisions.

Technologies Used:

Django: The web framework for building the backend of the application, handling user authentication, data storage, and business logic.
Python: Utilized for implementing machine learning models for loan prediction and handling various backend functionalities.
CSS: Styling the user interface for a visually appealing and intuitive user experience.
JavaScript: Enhancing interactivity and functionality, including real-time updates and dynamic content.
Bootstrap: Provides responsive design components and layouts, ensuring compatibility across devices and browsers.
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