AI-powered early warning for student burnout

Predict burnout
before it happens.

PulsePath turns mood, sleep, workload, and screen habits into a daily Burnout Risk Score — with quick, science-backed actions to keep students healthy and performing.

Burnout RiskLow
28/ 100

Habits are balanced — keep going.

Burnout RiskModerate
56/ 100

Watch sleep and workload this week.

Burnout RiskHigh
82/ 100

Recovery actions recommended today.

The signals

Four quiet inputs.
One clear signal.

Stress builds slowly. PulsePath listens to the everyday data students already generate — and surfaces patterns long before they show up as a missed deadline or a hard week.

Mood

Daily check-ins capture emotional trends.

Sleep

Detect circadian drift and deficits.

Workload

Estimate cognitive load from tasks.

Screen habits

Pattern shifts in digital use.

How it works

From habits to healing, in three steps.

01

Log in 30 seconds

A frictionless daily pulse — no journaling marathons.

02

AI risk scoring

A weighted model turns signals into a clear Burnout Risk Score.

03

Micro-interventions

Two-minute, science-backed actions that fit a student's day.

Try PulsePath. Or read how it's built.

A lightweight MVP built with React, Firebase, FastAPI, and a TensorFlow Lite model. Take it for a spin or peek under the hood.

PulsePath is a wellbeing tool, not a medical device. It supports — never replaces — clinical care.