/assignment

Primary LanguageJavaScriptMIT LicenseMIT

Frontend Task Essentially AI

Development Process:

Frontend Development:

  1. Developed a user input form using React hooks to collect relevant data from the user.
  2. Worked on enhancing the user interface (UI) by modifying the CSS to improve the application's look and feel.
  3. Utilized Axios to send the form data to the backend for processing.

Backend Development:

  1. Collected user input data using destructuring for better code organization.
  2. Checked the functionality of the API to ensure it was working properly.
  3. Dynamically modified the API URL based on the data provided by the user using concatenation.
  4. Fetched the response from the API and sent it back to the frontend.

Frontend Display:

  1. Created a stock component to display the received data in an organized manner.
  2. Passed the data from the backend as parameters to the stock component for rendering.
  3. Implemented conditional rendering to display specific output based on the received result.
  4. Developed an alert component to handle and display errors gracefully, if any.

Backend Exception Handling:

  1. Ensured robust exception handling in the backend to handle cases where the user inputs incorrect data.
  2. Invested time in resolving these issues and improving the application's reliability.

Overall, the development process involved seamless communication between the frontend and backend to create a user-friendly application with efficient data processing and error handling capabilities.

Enhancing User Experience and Utility:

In a real-world scenario with thousands of users relying on the product to access historic stock data, several improvements can be made to enhance the user experience and increase the utility for the end users:

  1. Improved Performance and Scalability: To handle the increasing user base and data requests, the product would need to be optimized for better performance and scalability. Implementing efficient caching mechanisms and utilizing serverless or cloud-based architecture would help reduce response times and accommodate a larger number of concurrent users.

  2. Interactive Data Visualization: Enhancing the user interface with interactive data visualization tools such as charts, graphs, and candlestick plots would allow users to quickly analyze and interpret the stock data trends. Providing options for users to customize the view based on their preferences can further improve the experience.

  3. Personalized User Profiles: Introducing personalized user profiles where users can save their favorite stocks, set alerts for price movements, and receive notifications would add value to the product. Users can track their selected stocks easily and stay informed about the latest developments.

  4. Real-Time Data Updates: Implementing real-time data updates for the stock information would make the product more dynamic and relevant. Users would appreciate timely updates on stock prices and market movements to make informed decisions.

  5. Mobile App Integration: Creating a mobile application for the product would increase accessibility and user engagement. Users could access the stock data on-the-go, receive push notifications, and stay connected with their investment interests at all times.

  6. Advanced Search and Filtering: Enhancing the search functionality with advanced filtering options, such as selecting stocks based on specific industries or market sectors, would make it easier for users to find relevant data quickly.

  7. Social Sharing and Collaboration: Adding social sharing features would enable users to share stock insights and data with their network. Additionally, introducing collaboration features like discussion forums or chatrooms for investors could foster a sense of community and knowledge-sharing among users.

  8. Multilingual Support: Providing multilingual support would cater to a global user base, making the product accessible to users from different regions and language backgrounds.

By implementing these improvements and new features, the product would evolve into a comprehensive platform that not only displays trade statistics but also empowers users with valuable insights and tools to make well-informed investment decisions.