Phase 1.4 Develop Frontend UI to Display Enhanced Insights & Predictions
Software Requirements Specification (SRS)
๐ Phase 1.4 - Develop Frontend UI to Display Enhanced Insights & Predictions
1. Objectives
โ Goal
Build an intuitive, responsive React-based UI to visualise enhanced API insights and predictions for informed user decision-making.
๐ฏ Key Tasks
- Design Insight Visualisation Components: Create interactive charts and summary cards.
- Display Performance Metrics & Analytics: Clearly present API response metrics and statistical insights.
- Enhance User Experience (UX): Ensure seamless interaction with data filters, real-time updates, and responsive layouts.
- Integrate Prediction Results: Visually highlight AI-generated forecasts and anomaly alerts.
2. Task Breakdown
1๏ธโฃ UI Component Development
- Task: Build reusable React components for data visualisation and summary display.
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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๏ธโฃ Data Visualisation Integration
- Task: Integrate visualisation libraries for enhanced charts and graphs.
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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๏ธโฃ User Interaction & Filters
- Task: Enhance interactivity with filters and customisation options.
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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๏ธโฃ Insight & Prediction Presentation
- Task: Display AI-generated insights prominently.
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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
๐ Implement Authentication & User Preferences Management
๐ Conduct UX Testing & Optimisation for Performance and Usability