Skip to content

tanaysinha1607/chrono-os

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 

Repository files navigation

Samsung EnnovateX 2025 AI Challenge Submission

Problem Statement - Building the Next OS-Level AI Experience

Team name - DataVista

Team members (Names) - Atharv Agarwal, Tanay Sinha, Amardeep Singh, Naman Gupta.

Project Artefacts

Technical Documentation - docs

Source Code - src

Models Used -

Hugging Face links to all models used in the project. You are permitted to use open weight models.

Models Published -

In case you have developed a model as a part of your solution, kindly upload it on Hugging Face under appropriate open source license and add the link here.

Datasets Used -

Synthetic Data

Datasets Published -

Links to all datasets created for the project and published on Hugging Face. You are allowed to publish any synthetic or proprietary dataset used in their project, but will be responsible for any legal compliance and permission for the same. The dataset can be published under Creative Commons, Open Data Commons, or Equivalent License.

About

On-device agentic AI system for intelligent battery optimization. It predicts upcoming user sessions (like commute, work, etc.) and proactively allocates a smart energy budget across apps. Powered by hybrid AI (neural prediction + symbolic reasoning) and optimized for Samsung’s Exynos NPU, ChronoOS turns your phone into a true battery strategist.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages