Google Track MVP
Powered by Gemini + Firestore

Build better student teams with transparent AI support.

Collabor-AI-tor helps instructors gather collaboration signals, form balanced teams, and keep teams healthy throughout the semester with a human in the loop.

60+

Students supported

5

Scoring dimensions

0

Black-box decisions

Core Principles

Augment, not automate

Instructors stay in control at every step.

Transparent team formation

Every team assignment comes with a rationale.

Instructor override

Swap students and regenerate rationale instantly.

No permanent labels

AI outputs are descriptive, never prescriptive.

Privacy by design

Reflection text is embedded locally before Gemini.

What it does

Instructor Control

Seed roster data, generate profiles, form teams, and override assignments with clear rationale at every step.

Balanced Teaming

Deterministic scoring balances skills, communication styles, availability, leadership, and growth targets.

AI Team Support

Generate charters, summarize meeting notes into action items, rewrite team messages, and coordinate meeting workflows.

Proactive Coaching

An autonomous agent monitors team participation, detects disengagement early, and alerts instructors before problems escalate.

How it works

01

Roster + Onboarding

Instructors set up the roster and students complete the richer questionnaire instead of the old flat intake.

02

AI Profile Generation

Gemini turns student responses into structured collaboration profiles with readable summaries and risk signals.

03

Deterministic Team Formation

A transparent scoring engine balances skill mix, availability, communication, leadership, and growth fit.

04

Ongoing Team Support

Badges, coaching alerts, charters, meeting summaries, rewrites, and OAuth-backed scheduling keep teams healthy after formation.