Why Choose This Project

In any enterprise or web application, understanding user login behavior is critical for security, auditing, and user management. Suspicious login patterns, failed attempts, or unusual geolocations can indicate potential cyber threats or account compromise. This project provides a comprehensive dashboard for administrators to track, visualize, and analyze login activity in real-time, helping to proactively detect security issues and improve overall account safety.

What You Get

A web-based admin dashboard where admins can view all user login attempts, monitor trends, detect anomalies, and generate reports. The dashboard is interactive, responsive, and integrates with backend systems to collect, store, and analyze login data securely.

Key Features

Technology Stack

Frontend Layer

• HTML, CSS, JavaScript

• Bootstrap for responsive UI

• Optional: React.js or Angular for dynamic charts and dashboards

Backend Layer

• Node.js (Express) / Java Spring Boot / Python Flask

• Handles login tracking, analytics processing, and alerts

Database Layer

• MongoDB / MySQL / PostgreSQL for storing login logs and analytics data

Security Layer

• HTTPS for secure dashboard access

• JWT / OAuth2 for admin authentication

• Input validation, XSS & CSRF protection

Optional Libraries & APIs

• Chart.js / D3.js for interactive visualizations

• IP geolocation API (MaxMind GeoIP, IPinfo)

• Email/SMS API (Nodemailer, Twilio) for alert notifications

Working Flow

1. Login Attempt Logging

   • Every user login (success/failure) is captured with timestamp, IP, device, browser, and location.

2. Data Processing

   • Backend aggregates login data, calculates trends, and flags suspicious activities.

3. Dashboard Visualization

   • Real-time graphs and charts show login patterns, failed attempts, and geolocation of logins.

4. Alerts & Notifications

   • Admins receive alerts for unusual login activity (e.g., multiple failed attempts, new geolocation).

5. Reporting & Exporting

   • Login data can be filtered, analyzed, and exported for audits or compliance purposes.

Main Modules

• Login Capture Module → Record every user login attempt with metadata

• Analytics Module → Aggregate data, generate trends, detect anomalies

• Alert Module → Notify admin of suspicious or risky logins

• Dashboard Module → Display visualizations and insights

• Reporting Module → Export data for audits or offline analysis

• API Module → Provide login data to other internal systems or apps

Security Features

• Admin authentication with JWT/OAuth2

• HTTPS-secured dashboard

• Role-based access control to sensitive analytics data

• Alert system for suspicious login behavior

• Secure storage and encryption of login logs

• Input validation and protection against XSS/CSRF attacks