# AI Program Management Platform

EdTech — Live Training Operations

> A platform that automatically scores every live training session and manages instructor availability before a cancellation becomes a crisis.

Multi-modal session scoring (audio, video, chat) across nine benchmarks, weekly PM reports with timestamped clips, and a WhatsApp availability bot that auto-queries replacements and hands the PM a one-tap confirmation list.

**PM time saved:** 72 hours/month of session review

**20 / EDTECH / LIVE TRAINING OPERATIONS**


A platform that automatically scores every live training session and manages instructor availability before a cancellation becomes a crisis.

**Client:** Live-training delivery company

**Tags:** EdTech · Live Training · Video Intelligence · WhatsApp AI · Program Management

## Problem

Program managers reviewed every trainer's 3–5 hour live sessions manually to catch quality problems — disengagement, poor interaction, late starts — that often went unnoticed until real damage was done. A senior PM was spending roughly 72 hours a month just watching sessions, and last-minute instructor cancellations were often flagged too late to arrange a replacement.

## Our Solution

A platform that automatically scores every live training session and manages instructor availability before a cancellation becomes a crisis. Every session's audio, video, and chat is evaluated against nine quality benchmarks — camera-on time, presentability, student interaction, engagement, punctuality, connection quality, chat sentiment, and language — and rolled into a weekly per-trainer report the PM can review in minutes instead of hours. In parallel, a WhatsApp bot checks in with every instructor days ahead of their session, and the moment someone goes unavailable, it automatically pulls eligible replacements from the roster and hands the PM a ranked, one-tap confirmation list.

## Technical Details

**Multi-Modal Session Scoring**
Audio and video are pulled from Zoom and Microsoft Teams via a meeting-recording API, transcribed with full speaker-timestamp attribution, and run through an NLP layer that extracts activity signals, comprehension checks, sentiment, and profanity, alongside a vision pipeline sampling video frames for attire, lighting, background, posture, and camera-on status. All nine benchmarks are scored per session and rolled into a color-coded scorecard.

**Weekly Reporting**
A conversation-heatmap renderer visualizes trainer-student interaction across each session's timeline, and an LLM generates a plain-English narrative summary highlighting each trainer's strongest moment and biggest area to improve — delivered by email or WhatsApp, with timestamped clips for any flagged benchmark.

**WhatsApp Availability Management**
Every assigned instructor gets automated check-ins three, two, and one day before their session, plus a day-of reminder; silence is treated as unavailability. A detected cancellation triggers an automatic query against the instructor roster for eligible replacements, structured availability requests over WhatsApp, and a ranked confirmation list back to the PM for a one-tap decision.

**Interface & Integrations**
Google login, automatic roster and session sync to Google Sheets, color-coded trainer health cards (on-track / watch-list / intervention) with one-click drill-down into flagged moments, and a fully containerized deployment.

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