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VendorShield AI Mobile Application

8 weeks
Solo Project
VendorShield AI Mobile Application
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99%
Uptime
<1s
Load Time
100%
Responsive
A+
Security
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Overview

About This Project

VendorShield AI is a cross-platform mobile application that helps organizations manage, assess, and monitor third-party vendor risks. It provides real-time dashboards, vendor assessments, risk tracking, and automated alerts — all in a sleek, dark-themed glassmorphic UI.


## Key Features

### Dashboard & Analytics
- Real-time metrics: total vendors, open risks, pending assessments, average risk score
- Interactive **risk distribution pie chart** (Critical / High / Medium / Low)
- **30-day risk trend line chart** with severity breakdown
- Quick-action buttons for adding vendors and launching assessments
- Pull-to-refresh with staggered fade-in animations
- Stat cards with dynamic color coding based on values

### Vendor Management
- Full CRUD operations for vendor profiles
- Search by name with real-time filtering
- Filter by status (Active, Pending, Inactive, Offboarded) and criticality
- Track risk scores, data classification, and assessment schedules
- Overdue assessment detection with visual indicators
- Vendor contact information management

### Risk Tracking
- Create and monitor risks with severity levels: **Critical**, **High**, **Medium**, **Low**
- Risk lifecycle: Open &rarr; In Review &rarr; Mitigated &rarr; Accepted &rarr; Closed
- Impact, likelihood, and mitigation tracking
- Color-coded severity badges throughout the app
- Due date monitoring with overdue warnings
- Category and source attribution

### Security Assessments
- Questionnaire-based vendor assessments with progress tracking
- Assessment statuses: Pending, In Progress, Completed, Expired
- Completion percentage with visual progress bars
- Due date monitoring and team member assignment
- Template-based assessment support

### Alerts & Notifications
- Push notifications via **Firebase Cloud Messaging**
- In-app alert system with severity levels (Info, Warning, Critical, Success)
- Read/unread tracking with unread count badge
- Filter toggle for unread-only view with "Mark all read" action
- Deep-link navigation from alerts to related vendors, risks, or assessments

### Authentication & Security
- Email/password authentication with form validation
- **Biometric login** (fingerprint / Face ID) on supported devices
- Secure token storage with `FlutterSecureStorage`
- Session persistence across app restarts
- Auth guards on all protected routes
- Password recovery flow with animated success state

### Offline Support
- Connectivity detection with offline banner
- Local data caching via Hive (6 dedicated boxes)
- Background sync service for data reconciliation
- Intelligent cache duration management (15 min / 1 hour)


Tech Stack

Next.js
React
Tailwind CSS
TypeScript
Node.js
Features

Key Highlights

Responsive Design

Pixel-perfect across all devices

High Performance

Optimized for speed

Scalable Architecture

Built for growth

Security First

Enterprise-grade security

Technical

Implementation Details

This project was built using modern development practices and industry-standard technologies. The implementation focused on creating a robust, maintainable, and scalable solution that meets current business needs while allowing for future growth.

The architecture emphasizes clean code principles, proper separation of concerns, and comprehensive testing to ensure reliability and performance.

const project = {
  name: 'vendorshield-ai-mobile-application',
  status: 'completed',
  quality: 'production-ready'
};

Project Details

Duration 6 weeks
Team Size Solo Developer
Category Building AI-Powered SaaS Apps
Completed Feb 2026

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