Upastithi is an AI-powered student attendance and wellbeing monitoring system that leverages existing CCTV infrastructure to automate attendance, track engagement, and monitor mental health. Below is a comprehensive list of features designed to support educators and school administrators.

Automate Attendance Instantly

Use AI-powered facial recognition with your CCTV cameras to track student presence — no manual entry, no errors.

Monitor Wellbeing & Engagement

Track emotional cues and attentiveness in real time to support students before issues become problems.

Gain Actionable Insights

Access a smart dashboard with real-time data on attendance, behavior, and engagement — all in one place.

Attendance using CCTV-Based Facial Recognition

Leverages live CCTV feeds to automatically detect and mark attendance using real-time facial recognition. No manual input, no physical hardware — fast, accurate, and completely contactless.

Student Wellbeing Monitoring

Analyzes student expressions and behavior through CCTV to detect signs of fatigue, stress, or emotional disengagement — empowering educators to intervene early.

Engagement & Attentiveness Analytics

Tracks student attentiveness and focus levels during each class session. Teachers receive actionable insights, visual heatmaps, and engagement summaries per subject.

Unified Analytics Dashboard

A centralized, web-based platform for viewing attendance logs, wellbeing indicators, and engagement metrics — with exportable reports for students, parents, and administrators.

Table Management Software

Benefits of Upastithi

  • Saves Time: Automates attendance, monitoring, and reporting — saving over 100 admin hours per term
  • Improves Engagement: Boosts classroom attentiveness and focus by 25–40% with real-time feedback
  • Enhances Student Wellbeing: Detects early signs of stress or burnout, enabling proactive support and care
  • Empowers Data-Driven Teaching: Gives educators meaningful insights, not just raw numbers
  • Privacy-First & Compliant: Uses facial encodings only — no image storage — and follows GDPR-aligned practices

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