Bridging Minds with Technology – Real-Time EEG-Based Mental Training Platform
NeuroBridge is a smart web-based platform that analyzes brain activity using EEG data to identify mental states and provide real-time educational insights, personalized recommendations, and cognitive training. Built with AI-powered signal processing, it empowers users to enhance their focus, learning ability, and emotional balance.
- 🧬 EEG Signal Processing: Real-time brainwave detection (Alpha, Beta, Gamma, Theta, Delta)
- 🧘 Mental State Classification: Detects focus, stress, drowsiness, relaxation, and anxiety
- 🎯 Personalized Training Tips: Mental exercises & educational content based on brain state
- 📊 Live Brainwave Dashboard: Visual analytics for wave patterns & state transitions
- 📝 User Profiles: Tailored learning plans and state history
- 📚 Smart Recommendation Engine: Suggests videos, courses, music, or exercises
- 🌐 Secure Cloud Integration: Data sync, session history, and insights across devices
- React.js / Next.js
- Tailwind CSS
- WebSockets (for real-time EEG streaming)
- Chart.js or Recharts (for brainwave visualization)
- Node.js & Express.js
- MongoDB (User profiles & history)
- Python (EEG signal processing & ML model)
- Scikit-learn / TensorFlow
- Bandpass Filtering, FFT, Normalization
- Trained model for mental state classification
Raw EEG → Preprocessing → Feature Extraction (FFT) →
→ Brainwave Band Analysis →
→ Trained ML Model →
→ Mental State Output + Training Recommendation