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NeuroSync – AI-powered screen time & well-being

NeuroSync – AI-powered screen time & well-being

AI-driven platform for managing screen time, predicting cognitive overload, and analyzing emotional well-being.

Created on 21st March 2025

NeuroSync – AI-powered screen time & well-being

NeuroSync – AI-powered screen time & well-being

AI-driven platform for managing screen time, predicting cognitive overload, and analyzing emotional well-being.

The problem NeuroSync – AI-powered screen time & well-being solves

🌐 Digital Overload: In today’s world, people spend excessive time on screens, leading to fatigue, stress, and reduced productivity.

📊 AI-Powered Insights: This project leverages RNNs, GRUs, and Gemini AI to analyze user behavior and provide actionable insights.

✨ Key Features:
✔️ Screen Time Prediction (RNN-Based) – Uses AI to forecast future screen time and detect peak usage periods.
✔️ App Categorization & Trend Analysis (Gemini AI) – Categorizes apps into General, Social Media, or Other and highlights usage trends 📈.
✔️ Cognitive Overload Detection (GRU-Based) – Identifies mental fatigue and suggests breaks to improve focus 🧠.
✔️ Social & Emotional Well-Being Analysis – AI detects user sentiment based on behavior, interactions, and screen activity 😊😞.

✅ This project helps users take control of their screen time, prevent burnout, and maintain a healthy digital lifestyle!

Challenges we ran into

⚠️ Challenges We Ran Into
1️⃣ Optimizing AI Models 🏗️

Training RNNs and GRUs required extensive tuning to achieve high accuracy.
We fine-tuned hyperparameters and experimented with multiple architectures for better efficiency.
2️⃣ Data Preprocessing 🗂️

Handling missing values, normalizing datasets, and time-series formatting were crucial steps.
Implemented robust data-cleaning pipelines to ensure smooth model training.
3️⃣ AI Integration Issues 🔄

Gemini AI integration for app categorization and trend analysis required API optimization.
We solved this using efficient caching techniques to reduce processing time.
4️⃣ UI/UX Enhancements 🎨

Making insights visually appealing and user-friendly was a challenge.
We used Tailwind CSS and Vite for a sleek, modern design.

Discussion

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