Final Year Collaboration Project

About SignalSys.Click

An innovative AI-powered signal processing platform born from a collaboration between medical and engineering expertise, combining cutting-edge artificial intelligence with fundamental analogue electronics principles.

Project Vision
Transforming signal processing through intelligent automation

SignalSys.Click represents a comprehensive platform that bridges the gap between theoretical analogue electronics and practical AI-powered signal processing. The platform serves both enterprise operators requiring robust signal analysis tools and students seeking educational resources for understanding circuit behavior and signal processing fundamentals.

Our platform integrates real-time signal analysis, noise reduction, pattern detection, anomaly identification, and interactive circuit simulation. By combining adaptive AI algorithms with classical analogue electronics concepts, we provide a unique environment for both operational workflows and educational exploration.

6+
Signal Types
5+
AI Algorithms
10+
Circuit Types

Meet the Team

A collaboration between medical innovation and engineering excellence

Eangelica Germano Aton
Computational Medicine & AI Engineer
Apercu
Stanford University
San Francisco Bay Area

Specializing in computational medicine, AI product engineering, and digital health solutions. Eangelica brings expertise in precision medicine and healthcare innovation, with a passion for raising new questions and regarding old problems from new angles.

Expertise:
AI & Machine LearningDigital HealthPrecision MedicineProduct Engineering
Languages:
SpanishFrenchItalianHungarianCebuano
Rawa Rayen Kraiem
Electronic Engineering Student
University of Rome Tor Vergata
Roma, Lazio, Italia

A dedicated electronic engineering student at Tor Vergata, bringing expertise in analogue electronics, circuit design, and signal processing fundamentals. Rawa combines technical engineering knowledge with creative problem-solving skills.

Expertise:
Electronic EngineeringAnalogue ElectronicsCircuit DesignSignal Processing
Additional Skills:
FilmmakingProductionDirection

Academic Collaboration

Bridging medical and engineering excellence

Vanvitelli Medical
Medical Innovation & Computational Medicine

Contributing expertise in computational medicine, AI-powered healthcare solutions, and precision medicine approaches to signal processing and analysis.

Tor Vergata Engineering
Electronic Engineering & Circuit Design

Providing foundational expertise in analogue electronics, circuit simulation, frequency response analysis, and classical signal processing techniques.

Technology & Features
Comprehensive signal processing capabilities

Signal Processing

  • • Multi-type signal support (RF, baseband, network, audio, biomedical, industrial)
  • • AI-powered noise reduction and filtering
  • • Pattern detection and classification
  • • Anomaly detection and alerting
  • • Real-time and batch processing modes

Circuit Simulation

  • • Interactive diode circuit simulator
  • • BJT/FET amplifier analysis
  • • Op-amp circuit configurations
  • • Bode diagram visualization
  • • Frequency response analysis

Visualization

  • • Real-time waveform plotting
  • • FFT spectrum analyzer
  • • Interactive zoom and pan controls
  • • Magnitude and phase response charts
  • • Export capabilities (CSV, PNG)

Dual-Mode Interface

  • • Enterprise dashboard for operators
  • • Student mode with educational content
  • • Telco maintenance showcase
  • • Analytics and reporting
  • • Persistent user preferences

Ready to Transform Your Signal Processing?

Experience the power of AI-driven signal analysis and circuit simulation