🚀 Add Spam Analytics Dashboard
Description
Currently, the Spam Detection System provides spam predictions for SMS and Email messages but does not offer any analytics or historical insights.
The goal of this issue is to implement a Spam Analytics Dashboard that visualizes spam detection statistics and trends. This will help users monitor system usage, understand spam patterns, and evaluate detection performance over time.
Objectives
Create a dashboard that displays:
- Total messages scanned
- Total spam messages detected
- Total non-spam (ham) messages detected
- Spam vs Ham distribution chart
- Daily scan activity trend
- Source-wise detection statistics (SMS, Email, URL in future)
Backend Tasks
- Create a
scan_logs database table
- Store prediction history automatically
- Create analytics APIs
- Aggregate statistics from stored logs
Suggested APIs:
GET /api/analytics/summary
GET /api/analytics/trends
GET /api/analytics/distribution
Example Response:
{
"totalScans": 1200,
"spamCount": 450,
"hamCount": 750
}
Frontend Tasks
Create a dashboard page displaying:
Statistics Cards
- Total Scans
- Spam Detected
- Ham Detected
Charts
- Spam vs Ham Pie Chart
- Daily Detection Trend Line Chart
Recommended Libraries:
Database Schema (Suggested)
CREATE TABLE scan_logs (
id INTEGER PRIMARY KEY AUTOINCREMENT,
source_type TEXT,
prediction TEXT,
confidence REAL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
Acceptance Criteria
- Prediction results are logged automatically.
- Analytics APIs return aggregated statistics.
- Dashboard displays real-time analytics.
- Charts render correctly on desktop and mobile devices.
- Code follows project coding standards.
- Documentation is updated.
Bonus Features
- Export analytics as CSV
- Most common spam keywords
- Date range filters
- Dark mode support
Difficulty
Medium
Skills Required
- React.js
- Node.js / Express.js
- SQLite
- REST APIs
- Data Visualization
Expected Outcome
A fully functional analytics dashboard that provides meaningful insights into spam detection activity and system usage.
🚀 Add Spam Analytics Dashboard
Description
Currently, the Spam Detection System provides spam predictions for SMS and Email messages but does not offer any analytics or historical insights.
The goal of this issue is to implement a Spam Analytics Dashboard that visualizes spam detection statistics and trends. This will help users monitor system usage, understand spam patterns, and evaluate detection performance over time.
Objectives
Create a dashboard that displays:
Backend Tasks
scan_logsdatabase tableSuggested APIs:
Example Response:
{ "totalScans": 1200, "spamCount": 450, "hamCount": 750 }Frontend Tasks
Create a dashboard page displaying:
Statistics Cards
Charts
Recommended Libraries:
Database Schema (Suggested)
Acceptance Criteria
Bonus Features
Difficulty
Medium
Skills Required
Expected Outcome
A fully functional analytics dashboard that provides meaningful insights into spam detection activity and system usage.