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Intelligent Telecom Platform

AI

Telecom

Development

Solution Provide

Project

Overview

We built a modern telecom website designed to simplify the user journey with seamless login, signup, and plan browsing features. A key innovation was the integration of an AI-powered selfie capture system for instant facial verification, ensuring a secure and frictionless onboarding process. This solution not only enhanced security but also significantly reduced manual verification times, providing a superior digital experience for customers.

Features Implemented

1. AI-Powered Facial Recognition

  • Real-time selfie capture and verification
  • High-accuracy facial matching algorithms
  • Secure biometric authentication

2. Scalable Cloud Infrastructure

  • Deployed on AWS with auto-scaling capabilities
  • Kubernetes orchestration for high availability
  • Zero downtime deployment strategy

User Authentication & Onboarding

  • Quick signup with email and phone verification.
  • AI-powered selfie authentication for KYC compliance.
  • Secure profile management with encrypted data storage.

Plan Browsing & Management

  • Interactive plan comparison with AI recommendations.
  • Real-time plan activation and management.
  • Personalized offers based on user behavior.

AI Facial Verification System

  • Advanced facial recognition technology.
  • Liveness detection to prevent fraud.
  • Instant verification with 99.5% accuracy.

Real-Time Notifications

  • Push notifications for plan updates and offers.
  • SMS alerts for account activities.
  • In-app messaging for customer support.

Security & Compliance

  • End-to-end encryption for all user data.
  • GDPR and telecom regulations compliance.
  • Multi-factor authentication for enhanced security.

Development

Challenges & Solutions With Results

Challenges & Solutions

  • Real-time facial recognition accuracy
  • Secure data transmission and storage
  • Seamless user experience across devices
  • Compliance with telecom regulations

Results & Impact

  • 85% reduction in manual verification time.
  • 99.5% facial recognition accuracy achieved.
  • 50,000+ successful user onboardings in 3 months.
  • Improved security with zero fraud incidents.

Frontend

  • Angular: Progressive web application framework.
  • RxJS: Reactive programming for real-time updates.
  • WebRTC: For live camera access and streaming.
  • TensorFlow.js: Client-side AI processing.
  • Material Design: Modern and responsive UI components.

Backend

  • Node.js: High-performance server-side application.
  • Python: AI/ML model training and inference.
  • MongoDB: NoSQL database for user profiles.
  • Redis: Caching layer for improved performance.
  • AWS (Lambda, S3, Rekognition): Cloud infrastructure and AI services.
  • Kubernetes: Container orchestration for scalability.
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