Early-alert overview
Catch academic risk weeks earlier, not after the exam
EarlyWarn merges attendance registers, assessment results and learning-platform engagement into a single weekly risk score, then tells each mentor exactly who to talk to and why.
Students monitored
8
across 5 programs
Flagged this week
5
3 at high risk
Open interventions
6
awaiting faculty action
Cohort attendance
75%
6-week rolling average
Flagged vs resolved
Since interventions began in May, resolutions have overtaken new flags.
What drives the score
Relative weight of each signal in the current model.
Priority students this week
Ranked by predicted risk of failing or dropping the current term.
Aarav Menon
STU-1042 · B.Tech Computer Science
Attendance 58% · Score 41%High risk · 88Priya Nair
STU-1088 · B.Sc Statistics
Attendance 64% · Score 49%High risk · 76Ananya Gupta
STU-1266 · B.Sc Statistics
Attendance 67% · Score 52%High risk · 72Daniel Osei
STU-1120 · B.Tech Mechanical
Attendance 71% · Score 55%Watch · 63