This title slide introduces Focus-Link, a real-time focus and distraction detection system by Team Focus from GDG On Campus, led by Nayandeep with members Shreshth, Shreyash, and Nitin. It includes the subtitle "Real-time focus tracking with AI-powered distraction detection" and a link to watch the demo on YouTube.

<div style='text-align: center;'><h2>GDG On Campus</h2><p>Team Focus</p><p>Leader: Nayandeep</p><p>Members: Shreshth, Shreyash, Nitin</p><a href='https://youtu.be/xIsKo9hg6cM?si=PgGjl5LdnLwUmEY-' target='_blank'>Watch Demo on YouTube ▶</a></div>

Real-time focus tracking with AI-powered distraction detection

Source: GDG On Campus branding, team 'Focus': Leader Nayandeep, members Shreshth, Shreyash, Nitin. Clickable YouTube: https://youtu.be/xIsKo9hg6cM?si=PgGjl5LdnLwUmEY-. White bg, rainbow accents.

The slide outlines key problems in focus monitoring: no real-time, hardware-independent tracking and undetected visual/audio distractions via webcam and microphone. Consequently, users remain unaware of the causes for attention drops.

Problem Statement

• No real-time, hardware-independent focus tracking.
• Undetected visual distractions via webcam.
• Undetected audio distractions via microphone.
• Users unaware of attention drop causes.

The "Our Solution & Key Features" slide displays a grid of six core features for a focus-monitoring tool. These include real-time focus scoring from webcam/mic, Gemini AI feedback, Mediapipe facial tracking, YOLOv8 object detection, audio analysis, and privacy-first on-device processing.

Our Solution & Key Features

{ "features": [ { "icon": "🎯", "heading": "Real-Time Focus Score", "description": "Calculates 0-100% focus score from webcam and microphone inputs instantly." }, { "icon": "🤖", "heading": "Gemini AI Feedback", "description": "Provides actionable insights and explanations for detected distractions." }, { "icon": "👁️", "heading": "Mediapipe Facial Tracking", "description": "Analyzes gaze direction, posture, and facial expressions accurately." }, { "icon": "🔍", "heading": "YOLOv8 Object Detection", "description": "Detects environmental distractions like phones or other people." }, { "icon": "🔊", "heading": "Sounddevice Audio Analysis", "description": "Identifies disruptive background noises and audio distractions." }, { "icon": "🔒", "heading": "Privacy-First Processing", "description": "All data processed locally on-device, ensuring complete privacy." } ] }

The Process Flow slide outlines a five-phase workflow for focus monitoring: Calibration for setup, Real-time Analysis for data capture, Detection of indicators and distractions, Correlation of behaviors via Gemini AI, and Feedback with focus scores and insights. Key components include Mediapipe for facial tracking, OpenCV and YOLOv8 for analysis, and real-time UI dashboards.

Process Flow

{ "headers": [ "Phase", "Description", "Key Components" ], "rows": [ [ "Calibration", "Initial user and environment setup for accurate tracking", "Mediapipe (face/gaze/posture), baseline audio levels" ], [ "Real-time Analysis", "Continuous capture of multimodal data from webcam and microphone", "OpenCV, Sounddevice, YOLOv8" ], [ "Detection", "Identify focus indicators and distractions", "Facial tracking (Mediapipe), Object detection (YOLOv8), Audio analysis" ], [ "Correlation", "Fuse user behavior and environmental data", "Gemini AI for multimodal correlation and causation analysis" ], [ "Feedback", "Generate focus score (0-100%) and actionable insights", "Real-time UI dashboard, AI-generated recommendations" ] ] }

Source: Focus-Link: Real-Time Focus & Distraction Detection System

The slide lists Google technologies like MediaPipe, Gemini AI, TensorFlow, Colab, and OpenCV, plus future scopes such as emotion insights, multi-user tracking, mobile deployment, and cloud analytics. It credits Team Focus from GDG On Campus with GitHub and YouTube demo links, includes a quote on AI mastering focus, and thanks the audience.

Technologies, Impact & Credits

**Google Technologies: MediaPipe, Gemini AI, TensorFlow, Colab, OpenCV

Future Scope: Emotion insights, multi-user tracking, mobile deployment, cloud analytics

Team Focus | GDG On Campus [GitHub] [YouTube Demo]

"Focus is the art of filtering noise—our AI mastered it."

Thank you!

Explore GitHub & YouTube demo today.**

Mastering Focus with AI

Source: Focus-Link: Real-Time Focus & Distraction Detection System