NeuralGuard

🧠 NeuralGuard

AI-Powered Preventive Health Intelligence System

NeuralGuard is a web-based system that predicts burnout risk and habit failure before they happen using behavioral patterns like mood, sleep, energy, and consistency.

---

⚡ Features

• 🔮 Burnout Risk Prediction (Low / Medium / High)
• 📉 Habit Failure Detection
• 📊 Behavioral Trend Analysis (7-day)
• 🔍 Explainable AI (Why system)
• 🔔 Pattern-based Alerts
• 🔥 Streak Tracking System
• 🌙 Modern Dark UI (Purple-Black Theme)

---

🧠 How It Works

NeuralGuard analyzes daily inputs:

• Mood (1–5)
• Sleep hours
• Energy levels
• Habit completion
• Activity timing

These inputs are processed through a behavioral pattern engine that detects:

• Mood decline trends
• Sleep deficits
• Habit inconsistency
• Schedule irregularity

Each factor contributes to a risk score (0–100), which is categorized into:

• 🟢 Low
• 🟡 Medium
• 🔴 High

The system also provides:

• 📌 Future predictions
• 📌 Detailed reasoning via the “Why?” feature

---

🏗️ Tech Stack

• Frontend: HTML, CSS, JavaScript
• Data Storage: LocalStorage
• Visualization: Chart.js
• Architecture: Modular (Tracker, Predictor, UI)

---

📂 Project Structure

NeuralGuard/
│
├── index.html
├── style.css
├── script.js
├── components/
│   ├── predictor.js
│   ├── tracker.js
│   └── ui.js

---

🧪 How to Run Locally

1. Download or clone the repository
2. Open index.html in your browser
3. Start logging daily data
4. View predictions on dashboard

---

💡 Key Innovation

Unlike traditional apps, NeuralGuard is:

• ✅ Predictive (not reactive)
• ✅ Explainable (transparent logic)
• ✅ Behavior-driven (pattern-based)

---

🚧 Challenges

• Designing intelligent scoring without ML models
• Making predictions feel realistic
• Building explainable outputs
• Maintaining clean modular architecture

---

📚 What We Learned

• Simulating AI using structured logic
• Importance of explainability (XAI)
• UI/UX impact on perceived intelligence
• Real-world system design thinking

---

🚀 Future Scope

• Wearable integration (smartwatch data)
• AI/ML model upgrades
• College & workplace monitoring systems
• Healthcare early-warning integration

---

🏁 Conclusion

NeuralGuard represents a shift from tracking health to understanding and predicting it, helping users take action before problems arise.

---

👤 Author

Aniket Rokade