Dyslexia affects millions of children globally, yet early detection remains a major challenge. Traditional diagnosis methods are:
- ❌ Time-consuming (can take months)
- ❌ Expensive and inaccessible
- ❌ Dependent on specialists (limited availability)
- ❌ Lacking engaging, child-friendly experiences
As a result, many children are diagnosed late, impacting their confidence, academic growth, and communication skills.
DyslexiCore is an AI-powered, gamified platform that transforms dyslexia screening into an engaging and interactive experience.
Instead of stressful assessments, children participate in fun, space-themed mini-games that subtly evaluate cognitive and linguistic abilities.
👉 From “Wait to Fail” → “Play to Succeed”
- Interactive games to assess:
- Phoneme recognition
- Reading patterns
- Visual tracking
- Response time
- Captures behavioral data during gameplay
- Analyzes patterns to identify early signs of dyslexia
- Generates a risk profile in minutes
- Tracks child performance and progress
- Provides insights into learning behavior
- Suggests improvement activities
- AI-based speech recognition
- Real-time pronunciation feedback
- Multilingual support (English, Tamil, Hindi)
- Difficulty adjusts based on child performance
- Personalized learning paths
User (Child) ↓ Game Interface (Frontend - Base44 Prototype) ↓ Data Capture Layer (Clicks, response time, patterns) ↓ AI Analysis Engine (Pattern Detection & Risk Scoring) ↓ Insights & Feedback ↓ Parent Dashboard
- Frontend: Base44 (Rapid UI Prototyping)
- Frontend: React.js + Tailwind CSS
- Game Engine: Phaser.js
- Backend: FastAPI (Python)
- Database: PostgreSQL / TimescaleDB
- AI/ML:
- Speech Recognition APIs
- NLP Models
- Behavioral Pattern Analysis
- Child plays interactive mini-games
- System captures behavioral signals:
- Response time
- Accuracy
- Interaction patterns
- AI analyzes patterns
- Generates insights and risk indicators
- Parent dashboard displays progress and recommendations
- Combines AI + Gamification + Behavioral Analysis
- Makes screening stress-free and engaging
- Focus on early detection (ages 4–9)
- Bridges gap between diagnosis and continuous learning
- Real-time speech therapy feedback
- Integration with therapists and schools
- Mobile application deployment
- Advanced ML models for higher accuracy
- Emotion-aware AI assistant
- Shreya – AI/ML & Product Vision
- Sarikha – Backend Development
- Priyanka – Frontend Development
- Varsha – UI/UX & Research
- 🔗 Live Demo: https://space-core-learn.base44.app
- 🎬 Demo Video: (Add YouTube/GDrive link here)
This project is a hackathon prototype.
The frontend is built using Base44 for rapid development, while the core system design, AI logic, and product architecture are independently conceptualized.
DyslexiCore aims to make early learning support:
- ✅ Accessible
- ✅ Affordable
- ✅ Engaging
- ✅ Scalable
Helping children learn better, earlier, and with confidence.
“Play. Detect. Empower.”