Using
full-stack no-code platform · Momen
to build
a university administrative and attendance management system for students and faculty
how much does it cost?
~
$253.58
/ mo
Estimated monthly cost at the usage scale below — billed by actual usage
120 req/s
Peak Concurrency
2.57 GB
Database Storage
105.47 GB
Object Storage
351.56 GB
Outbound data transfer
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PROJECT OVERVIEW
What is this app
A university administrative management system designed for 15,000 students to efficiently view class schedules and classroom locations. Students can submit assignments through a dedicated portal with a 30-day retention policy, perform pre-class attendance check-ins, and interact with an AI-powered chatbot for policy inquiries and school-related matters. The system streamlines academic operations by centralizing attendance tracking, assignment workflows, and student support.
As a student, I want to view my class schedule and classroom locations so that I know where to go.
As a student, I want to submit my assignment files through the system so that I can meet my deadlines.
As a student, I want to check in for attendance before class so that my presence is recorded.
As a student, I want to chat with an AI assistant to quickly find answers to school policy questions.
As a teacher, I want to view and download student assignment submissions for grading.
As a teacher, I want to monitor class attendance records to track student participation.
As an administrator, I want to upload and update course schedules and policy context for the AI.
15000
student
Students who use the system for schedules, assignments, and attendance.
1000
teacher
Faculty members who manage assignments and track student attendance.
100
administrator
Staff who maintain the system data, schedules, and policy documents.
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.
Minimum viable plan
PRO
A university system with 15,000 students requires SSO for secure, organization-level account management, which is a PRO feature.
See the capability-by-capability assessment ▾
ITEM_NAME
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
COVERAGE
AMOUNT
PRO
Pro is the minimum viable plan
Pro
(Plan tier: PRO)
See minimum viable plan above
99
single-tenant kit
120 req/s
single-tenant kit × 1
(plan/kit 175 req/s)
Covered by plan/kit (margin ~46%)
120
Database storage add-on
4.14 GB
10GB × 1/year, amortized monthly
(plan/kit 3.00 GB + add-on +1.14 GB)
Add-on fills +1.14 GB gap beyond plan/kit
8.33
Object storage add-on
113.25 GB
100GB × 1/year, amortized monthly
(plan/kit 60.00 GB + add-on +53.25 GB)
Add-on fills +53.25 GB gap beyond plan/kit
2.92
Outbound data transfer add-on
377.49 GB/mo
500GB × 8/year, amortized monthly
(plan/kit 60.00 GB/mo + add-on +317.49 GB/mo)
Add-on fills +317.49 GB/mo gap beyond plan/kit
23.33
AI points add-on
1.2M points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~305%)
0
Monthly total
plan + add-ons · usage-based · no development cost
$253.58
/ mo
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.
Current usage sizing
AWS list pricing
3 × t4g.large × 730h
EC2 t4g.large → 147.17
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
2.76 GB-month
RDS gp3 storage → 0.32
113.25 GB-month
S3 Standard → 2.6
251.56 GB (first 100GB free)
Internet egress → 22.64
Total ≈ $404.87 / mo
Pure cloud resources
ROUTE
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS)
TIME TO LAUNCH
CUSTOMIZATION
Traditional outsourcing / self-built
≈ $405
Per AWS usage sizing above
≈ $2405
Infra $405 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $405
Per AWS usage sizing above
≈ $1905
Infra $405 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $405
Per AWS usage sizing above
≈ $1905
Infra $405 + ops ~$1,500
hours
3 / 5
Off-the-shelf SaaS / vertical solution
N/A
≈ $16,000+
Per-seat pricing, tens of thousands of users
days
1 / 5
Momen
Recommended
$254
All-in: egress / storage / auto-scaling included
$254
hours
5 / 5
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.
16100
Total users
Based on the project description of 15,000 students, we estimate an additional 1,000 faculty members and 100 administrative staff for a stable campus ecosystem.
365
Data retention period
University administrative systems are typical stock migration systems where the academic year's data is fully loaded and active from the start. We assume the system maintains a full year of records for scheduling and attendance, justifying the maximum value.
Core business scenarios
Pre-Class Attendance Burst
Pre-Class Attendance Burst
Pre-Class Attendance Burst
Daily Academic Routine
Daily Academic Routine
80
times/month
120 req/s
Peak load
We assume the most intense system usage occurs during the 5-minute window before the start of major class blocks. With 4 major time slots per day over 20 school days per month, we estimate 80 occurrences. This scene focuses on the heavy write load of attendance check-ins.
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
120 req/s
Database Storage
2.57 GB
Object Storage
105.47 GB
Outbound data transfer
351.56 GB
AI Points
1.2M 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.
student
check_daily_schedule
A student logs in to check their daily classes and classroom locations.
page
data_table
student
submit_homework_flow
A student navigates to an assignment, reads requirements, and uploads their file.
page
data_table
action_flow
student
attendance_checkin_flow
A student checks in for attendance just before class starts.
page
data_table
student
ai_support_interaction
A student interacts with the AI chatbot to ask questions about school rules.
page
data_table
ai_agent
teacher
teacher_grading_flow
A teacher reviews and downloads assignments submitted by their class.
page
data_table
administrator
admin_policy_management
An administrator updates school policy records to keep the AI assistant current.
page
data_table
page
data_table
ai_agent
action_flow
Student Dashboard
Main entry point for students to view their daily schedule.
Assignment Portal
Page where students submit their coursework files.
AI Chat Page
Interactive chat interface for school policy questions.
Attendance Page
Quick-access page for student pre-class check-in.
Teacher Management Portal
Dashboard for faculty to manage their classes and students.
Admin Portal
Backend interface for administrators to update school data.
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.
What determines the file storage usage for this system?
Can I update the AI's knowledge base?
Copy to discuss with AI
Challenge & re-estimate