Using
full-stack no-code platform · Momen
to build
a university administrative management system for 15,000 students
how much does it cost?
Estimated monthly cost at the usage scale below — billed by actual usage
333 req/s
Peak Concurrency
PROJECT OVERVIEW
What is this app
This university administrative management system serves a community of 15,000 students and their faculty. It enables students to view their course schedules and classroom locations, perform digital check-ins for attendance, and submit assignments with a 30-day retention window. Additionally, an AI customer service chatbot is integrated to help students navigate school policies and academic inquiries efficiently.
As a student, I want to view my class schedule and classroom locations so I know where to go.
As a student, I want to check in for attendance before class via the system.
As a student, I want to submit my assignments through the system so they are recorded.
As a student, I want to chat with an AI chatbot to ask about school policies.
As a teacher, I want to view student attendance records for my classes.
As a teacher, I want to create assignments for my courses.
As an admin, I want to manage school policy data so the AI chatbot stays updated.
15000
student_user
University students accessing schedules, attendance, and assignments.
1000
teacher_user
Faculty members managing courses and grading.
50
admin_user
Staff managing system data and policies.
COST BREAKDOWN
Requirements to minimum viable plan to cost
Momen doesn't give a vague quote: it first sizes the project's actual demand for each capability and resource, then costs each item out.
The numbers in the "Project demand" column below — their scale assumptions and derivations — are detailed in Scale & sizing.
The large-scale university system requires SSO Login to manage 15,000 student accounts securely, which is a PRO feature.
See the capability-by-capability assessment ▾
ALLOWANCE PROVIDED (COMPOSITION)
single-tenant kit × 3
(plan/kit 475 req/s)
Covered by plan/kit (margin ~42%)
10GB × 3/year, amortized monthly
(plan/kit 7.00 GB + add-on +26.86 GB)
Add-on fills +26.86 GB gap beyond plan/kit
not purchased
(plan/kit 160.00 GB)
Covered by plan/kit (margin ~281%)
Outbound data transfer add-on
not purchased
(plan/kit 160.00 GB/mo)
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~160%)
Monthly total
plan + add-ons · usage-based · no development cost
WHY MOMEN
Your options for this project
In the table below, the "monthly infrastructure" for the self-built / AI routes is derived from the AWS list prices shown below, sized against this project's actual usage.
7 × t4g.large × 730h
EC2 t4g.large → 343.39
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
3.49 GB-month
RDS gp3 storage → 0.4
41.94 GB-month
S3 Standard → 0.96
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $576.9 / mo
Pure cloud resources
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $577
Per AWS usage sizing above
≈ $2577
Infra $577 + ops ~$2,000
≈ $577
Per AWS usage sizing above
≈ $2077
Infra $577 + ops ~$1,500
AI full-stack generators (Lovable/Bolt/v0)
≈ $577
Per AWS usage sizing above
≈ $2077
Infra $577 + ops ~$1,500
Off-the-shelf SaaS / vertical solution
≈ $16,000+
Per-seat pricing, tens of thousands of users
$484
All-in: egress / storage / auto-scaling included
Infrastructure cost is unavoidable
Servers, databases, traffic and storage are inherent infrastructure costs for this project — you pay them whether you outsource, use Cursor or Lovable, or build it yourself (self-built runs ≈ $441/mo at AWS list prices, often more), plus the extra dev and ops staff. Momen bundles all of it into $368/mo all-in and removes the need for an ops team.
Vibe-coding speed + a production-grade backend
The frontend can be generated with AI tools (Cursor, Lovable, etc.); the hard part is the backend — auth, database, scaling, data security and ops. Momen delivers a production-grade backend as a BaaS: keep the vibe-coding speed on the frontend, while the backend runs on proven infrastructure — reliable, with no self-hosting or ops.
SCALE & SIZING
What scale this estimate assumes, and how the numbers are derived
Cost depends heavily on usage volume. First see the key assumptions and business scenarios this estimate uses, then the full calculation derived from each scenario for every resource — all adjustable to your real situation.
16050
Total users
Based on the input of 15,000 students, we estimate approximately 1,000 teachers and 50 administrative staff to support them, bringing the total registered user base to 16,050. There is no public/anonymous browsing for this internal system.
365
Data retention period
University administration systems are typically migration-heavy or operate at full capacity from the start of the academic year. Since data like grades and attendance are accumulated throughout the year, we treat this as a system running at a constant level for the past 12 months. Therefore, we use 365 days.
Weekly Submission Deadline Rush
We assume a strong synchronization peak occurring 4 times a day (before main morning and afternoon lecture blocks) across 22 school days per month (88 occurrences). The 120-second duration reflects the typical window students spend checking in as they enter a classroom.
Main impact: Peak Concurrency
The scenarios above set the assumptions for each resource; below is the full calculation based on those assumptions. Click to expand each item.
Peak Concurrency
333 req/s
Monthly AI Points
1,922,940 AI Points
DEVELOPMENT SCOPE
How this app works
What exactly does this budget support? Broken down by business scenario, showing the pages, data tables, automation flows and AI
assistant behind each one.
view_daily_schedule
A student logs in to check their upcoming class time and classroom location.
pre_class_checkin
A student checks in for attendance right before a class session starts.
assignment_submission_flow
A student selects a file and submits it for a specific assignment.
policy_inquiry_chat
A student asks the AI chatbot about school policies or campus information.
teacher_attendance_review
A teacher views the list of students who checked in for a class.
admin_policy_update
An admin updates the university policy knowledge base for the AI bot.
Student Dashboard
Main landing page for students to see their daily schedule and classroom locations.
Check In Page
Page where students check in for their current class.
Assignment Submission Page
Page for students to upload files for specific assignments.
AI Support Center
Chat interface for students to interact with the AI assistant.
Teacher Management Portal
Portal for faculty to manage their courses and students.
Admin Control Panel
Administrative interface for system configuration and data management.
FAQ
What you might want to know about this project
The Q&A below is generated by AI based on this project's type, features and scale.
How does the system handle 15,000 students checking in for class simultaneously?
How is the 30-day assignment retention policy enforced?
Where does the AI customer service chatbot get its information?