This project focuses on the development of a system for the personal management of pension portfolios and provident funds. The system is designed for individuals who want to manage their pension savings in an efficient and personalized manner. It allows users to track provident fund data in real time providing an accurate breakdown of the investment compositions within the funds.
Unlike existing tools this system stands out by offering personalized recommendations through automatic data analysis. It includes a user preferences questionnaire to tailor the suggestions enhancing the ability of users to make informed financial decisions and adapt their funds to their personal needs.
Additionally the system features a comprehensive inquiry module that allows users to open track and review technical support inquiries. The technical support team can manage these requests update their status and escalate complex issues to the system administrator as needed ensuring quick and efficient resolution of any problems that may arise.
Here are some of the project's best features:
- Recommended Funds: Provide a questionnaire for users to assess their investment goals, risk tolerance, and other factors, then offer personalized fund recommendations.
- Fund Analytics: Integrate graphs and charts to display past performance reports of the investment funds.
- Ticket System: Implement a ticketing system to handle user support requests and technical issues.
- Favorites: Allow users to save their preferred investment funds to a favorites list for easy access.
- Admin and Tech Support: Develop administrative and technical support functionality to manage the application and users.
- User Authentication: Implement user registration and login system to secure access to the application.
1. Clone the repository:
git clone https://github.com/GaiShukrun/Kupot_Gemel.git
2. Navigate to the project directory:
cd Kupot_Gemel
3. Install the required dependencies:
npm install
4. Start the development server:
npm start
5. Start the backend server:
cd moongodb
npm start


