Studio Enrollment Desk
AI generated. Cohort capacity, weekly schedule checks, waitlist placement, deliberate promotions and portable roster handoffs with optional shared LMS accounts.
Screenshots
Screenshots supplied by the seller.
Description
AI generated. Studio Enrollment Desk organizes cohorts, learner aliases and placement records. Request a place to allocate within capacity when schedules fit, or place the learner on a waitlist. Fill vacancies deliberately in request order while skipping active schedule conflicts.
The workspace checks overlapping rooms and teachers, duplicate active or waiting placements, missing references and capacity limits. A visual capacity view, searchable records, edit history, roster CSV and a suite roster exchange packet support enrollment handoffs.
This application works independently in a browser using explicit workspace files. The supplied self hosted LMS server adds teacher and student accounts, private or class shared workspaces, submissions, private teacher feedback and revision bound review decisions. The marketplace demo runs independent local mode and does not simulate shared authentication. This package includes this application and the common server, not all other suite frontends.
Condition
Development stage: Mostly built (seller-declared)
Seller-declared: provided by the seller, not independently verified by SellMyVibe.
- Solo creator
- Mainly AI-generated
- Under one month in development
- Tests included
- Setup guide included
- Demo available
What works
- Cohort date ranges, weekly local schedules, rooms and teacher aliases
- Learner aliases, learning goals and placement records
- Capacity checks and active learner schedule conflict detection
- Request placement, waitlists, deliberate promotion and withdrawal tools
- Capacity overview, searchable editing and fifty edit undo history
- Roster CSV, suite exchange packets and checked saved workspaces
- Optional shared studio server with account ownership and teacher feedback
What’s unfinished
No managed hosting, production deployment, SSO, email, SCORM, LTI, organization tenancy or independent security audit. The connected shared browser session was not tested. Shared API boundaries were tested with the Flask HTTP test client.
Included assets
Editable browser application source
Original fictional teaching examples
Shared LMS server source
Server role and persistence tests
Application behavior checks
Setup and workflow documentation
Real running interface screenshots
Verification notes and dependency disclosures
Technologies
HTML, CSS, JavaScript, original SVG and Canvas where relevant; Python, Flask, Waitress and SQLite for optional shared mode
Setup requirements
Open index.html for independent use. Save an explicit workspace file before closing. For shared mode, install backend requirements, run backend/install_app.py, create a teacher account using backend/server.py, then start the included Waitress server and open the installed app through its address. See README.md and backend/README.md.
Dependencies and ongoing costs
Independent mode needs a current browser and no paid service or external JavaScript library. Shared mode requires Python 3.12 or later, Flask 3.1.3, Waitress 3.0.2 and their open source dependencies installed from the included requirements. No hosting is purchased or supplied. Multi device deployment requires an HTTPS reverse proxy and operational configuration; any hosting costs depend on the chosen provider.
Known limitations
Checks apply only within the open workspace, not all saved LMS documents. Weekly schedules use studio local wall times without timezone conversion, holidays or exception dates. Request order is a manually supplied planning field, not a verified admissions timestamp. No fees, payments, email or automated admission eligibility assessment is included. Local files do not authenticate users or synchronize accounts. Local planning status is not an authenticated LMS review. Shared permissions operate at one studio installation, with teachers able to read learner work. The supplied server binds to the local computer by default. Multi device hosting, HTTPS configuration and a connected browser session were not verified. No automatic local storage. Browser download delivery and file picker paths may vary; visible JSON or text alternatives are provided.
Listings are reviewed for completeness and clarity before publication. Approval is not a guarantee of quality, ownership, security or commercial success. Read the details and ask questions before buying.