๐Ÿ“Œ Phase 1.4 - Develop Frontend UI to Display Enhanced Insights & Predictions


1. Objectives

โœ… Goal

Build an intuitive, responsive React-based UI to visualise enhanced API insights and predictions for informed user decision-making.

๐ŸŽฏ Key Tasks

  1. Design Insight Visualisation Components: Create interactive charts and summary cards.
  2. Display Performance Metrics & Analytics: Clearly present API response metrics and statistical insights.
  3. Enhance User Experience (UX): Ensure seamless interaction with data filters, real-time updates, and responsive layouts.
  4. Integrate Prediction Results: Visually highlight AI-generated forecasts and anomaly alerts.

2. Task Breakdown

1๏ธโƒฃ UI Component Development

  • Task: Build reusable React components for data visualisation and summary display.
  • Subtasks:
    • Implement performance metrics cards (elapsed time, cache status).
    • Develop stock summary cards (high, low, volatility, trend).
    • Design anomaly & prediction notification banners.
    • Include data download/export options (CSV, JSON).
  • Expected Output: Modular, maintainable React components ready for integration.

2๏ธโƒฃ Data Visualisation Integration

  • Task: Integrate visualisation libraries for enhanced charts and graphs.
  • Subtasks:
    • Use Recharts for line charts, bar charts, and trend visualisation.
    • Implement real-time data updates (WebSockets/long polling if applicable).
    • Apply responsive chart layouts for multi-device compatibility.
  • Expected Output: Clear, interactive data visualisation supporting decision-making.

3๏ธโƒฃ User Interaction & Filters

  • Task: Enhance interactivity with filters and customisation options.
  • Subtasks:
    • Implement date range selectors and stock filter dropdowns.
    • Add toggle switches for viewing raw data vs. summarised insights.
    • Provide customisable chart display settings (time intervals, indicators).
  • Expected Output: Flexible, user-driven control over displayed data.

4๏ธโƒฃ Insight & Prediction Presentation

  • Task: Display AI-generated insights prominently.
  • Subtasks:
    • Highlight trend predictions with contextual labels.
    • Show detected anomalies with visual markers (e.g., icons, colour shifts).
    • Include interpretative text summaries generated by the backend AI analysis.
  • Expected Output: Clearly presented insights facilitating immediate user comprehension.

3. Expected Deliverables

  • Responsive React frontend integrated with enhanced API.
  • Reusable visualisation components using Recharts.
  • Interactive filters and controls improving data exploration.
  • Clear display of AI predictions and anomalies enhancing decision-making.

4. Next Steps

๐Ÿ”œ Implement Authentication & User Preferences Management

๐Ÿ”œ Conduct UX Testing & Optimisation for Performance and Usability