Sleep Shift Scheduling Tool
Sleep loss and fatigue may lead to reduced performance and an increased risk to safety during many activities, including spaceflight. Your challenge is to develop an operational sleep shift scheduling tool that provides autonomous customization of a schedule for sleep, exercise, and nutrition to manage fatigue.
Antrix-Sleepshift
Summary
Sleep loss and fatigue may lead to reduced performance and an increased risk to safety duringmany activities, including spaceflight. antrix-sleep shift is an asleep shift scheduling tool thatprovides autonomous customization of a schedule for sleep, exercise, and nutrition to managefatigue.The threats of missed sleep can vary from on-the-job errors to chronic disease. People all aroundthe world experience disturbances in circadian rhythm, or the body’s natural regulator for sleepand wake rotations based on a 24-hour schedule, every day. This instinctual process can be to do work on research on NASA work on LED.
How We Addressed This Challenge
- Sleep loss and fatigue may lead to reduced performance and an increased risk to safety during many activities, including spaceflight. antrix-sleep shift is an asleep shift scheduling tool that provides autonomous customization of a schedule for sleep, exercise, and nutrition to manage fatigue. The threats of missed sleep can vary from on-the-job errors to chronic disease.
- People all around the world experience disturbances in circadian rhythm, or the body’s natural regulator for sleep and wake rotations based on a 24-hour schedule, every day.
- This instinctual process can be disrupted by abnormal work schedules, extensive traveling between time zones, and daily life for International Space Station crew members, who could experience 16 sunrises a day.
How We Developed This Project
We are using react-native for mobile app developemnt and we are ccreating the model for the prediction on the basis of Time Series Prediction data if NASA will give to us so we can train that but for we taken a raw data for that
How We Used Space Agency Data in This Project
By using NASA data on astronauts we are using prediction using Time Series Prediction for better prediction
Project Demo
https://docs.google.com/presentation/d/1NhxLA29-7LvaOrIxZJ88h1ejjd_Z3NgvnEtEHTzXoic/edit?usp=sharing
Data & Resources
https://www.youtube.com/watch?v=wH2hL5Ua_m8
https://www.nasa.gov/mission_pages/station/research/astronauts_improve_sleep
https://www.nasa.gov/feature/ames/nasa-research-reveals-biological-clock-misalignment-effects-on-sleep-for-astronauts
Tags
#artificialIntelligence #ml #react-native #time-series-prediction
Judging
This project was submitted for consideration during the Space Apps Judging process.