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PROJECT_ID: 008

Somno – AI-Powered Sleep Diagnosis Platform

Somno is a web-based platform that leverages machine learning to analyze users’ sleep data and provide personalized sleep disorder diagnoses, along with actionable recommendations and educational content to promote better sleep quality.

Somno – AI-Powered Sleep Diagnosis Platform — screenshot 1

Problem_Statement

Many individuals experience undiagnosed sleep issues but lack accessible tools to analyze their sleep behavior and understand underlying problems in a personalized and data-driven manner.

Approach_&_Solution

Built an AI-driven diagnostic system using machine learning models trained on sleep pattern data. The web platform collects user inputs such as sleep duration, interruptions, habits, and symptoms, then offers potential diagnoses along with curated educational articles and practical advice.

Key_Features

  • Sleep disorder risk analysis using ML models
  • Personalized diagnosis based on user input
  • Recommendations for improving sleep hygiene
  • Educational content: articles, tips, and FAQs
  • Responsive web design for accessibility across devices

Challenges

  • Building an accurate and interpretable ML model
  • Ensuring user data privacy
  • Delivering results in a way that feels approachable yet scientifically grounded

Reflection_&_Learnings

This project taught me how to bridge AI with health-related user experiences, including the challenges of model interpretation, UX empathy, and responsible data handling.