a university administrative system for student attendance, assignments, and policy support
Estimated monthly cost at the usage scale below — billed by actual usage
160 req/s
Peak Concurrency
3.97 GB
Database Storage
103.13 GB
Object Storage
236.33 GB
Monthly Outbound Traffic
What is this app
This comprehensive university management platform streamlines academic administration for 15,000 students. It enables students to easily view their course schedules, check in for attendance, and submit assignments with a built-in 30-day file retention policy. Additionally, an AI-powered policy consultant is available to provide instant answers to school-related inquiries for both students and prospective visitors, ensuring efficient communication and data management across the campus.
As a student, I want to view my course schedule so that I can attend classes on time.
As a student, I want to check in for attendance so that my presence is recorded.
As a student, I want to submit my assignment files so that I can be graded.
As a student, I want to ask the AI bot about school policies so that I can clarify rules quickly.
As a teacher, I want to view attendance logs so that I can monitor student participation.
As a teacher, I want to view and grade student submissions so that I can provide feedback.
As an admin, I want to update school policies so that the AI bot has the latest information.
As a visitor, I want to chat with the AI bot so that I can learn about university procedures.
15000
students
Full-time enrolled students at the university.
1000
teachers
Faculty members and instructors responsible for grading and attendance monitoring.
50
admins
University staff who manage system data and school policies.
0
anonymous_visitors
Prospective students or members of the public inquiring about school policies.
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
The selection is based on the requirement for the PRO plan, primarily due to the need for SSO login to manage 15,000 university students.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
PRO
Pro
(Plan tier: PRO)
99
single-tenant kit
160 req/s
single-tenant kit × 1
(plan/kit 175 req/s)
Covered by plan/kit (margin ~9%)
120
Database storage add-on
7.78 GB
10GB × 1/year, amortized monthly
(plan/kit 3.00 GB + add-on +4.78 GB)
Add-on fills +4.78 GB gap beyond plan/kit
8.33
Object storage
add-on
110.73 GB
100GB × 1/year, amortized monthly
(plan/kit 60.00 GB + add-on +50.73 GB)
Add-on fills +50.73 GB gap beyond plan/kit
2.92
Outbound data transfer add-on
253.76 GB/mo
500GB × 5/year, amortized monthly
(plan/kit 60.00 GB/mo + add-on +193.76 GB/mo)
Add-on fills +193.76 GB/mo gap beyond plan/kit
14.58
AI points add-on
352K points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~1319%)
0
plan + add-ons · usage-based · no development cost
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.
4 × t4g.large × 730h
EC2 t4g.large → 196.22
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
4.26 GB-month
RDS gp3 storage → 0.49
110.73 GB-month
S3 Standard → 2.55
136.33 GB (first 100GB free)
Internet egress → 12.27
Total ≈ $443.67 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $444
Per AWS usage sizing above
≈ $2444
Infra $444 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $444
Per AWS usage sizing above
≈ $1944
Infra $444 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $444
Per AWS usage sizing above
≈ $1944
Infra $444 + 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
$245
All-in: egress / storage / auto-scaling included
$245
hours
5 / 5
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.
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.
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.
Based on the 15,000 students mentioned, we estimate a 1:15 faculty ratio (1,000 teachers) and roughly 50 administrative staff. We also account for approximately 2,000 anonymous visitors (prospective students/parents) who might use the public AI policy chat. The total estimated user pool is 18,050.
This project is a university administrative system, which operates on a structured academic cycle. Systems like this are typically migrated from existing data or reach full operational load immediately upon the start of the semester. Therefore, we assume an effective accumulation of 365 days to represent a full academic year's worth of data.
Class Start Peak
Standard Academic Daytime
Public Engagement Window
88
times/month
We assume a strong synchronized assembly driven by the university timetable. This occurs at the start of major lecture slots (estimated at 4 times a day, 22 weekdays a month = 88 occurrences). The 300-second duration reflects the high-pressure window just before the class bell when the majority of check-ins occur simultaneously.
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.
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.
Routine student behavior: checking the daily timetable and marking attendance upon arriving at class.
Student Dashboard
users
The process of viewing homework requirements and uploading the final file before the deadline.
Student Dashboard
users
handle_assignment_submission
Teachers monitoring student progress and grading uploaded assignments.
Student Dashboard
users
Administrative staff updating the official policy documents that feed the AI chatbot.
Student Dashboard
users
Visitors asking policy-related questions via the chatbot interface.
Student Dashboard
users
policy_consultant
handle_assignment_submission
page
data_table
ai_agent
action_flow
Student Dashboard
Primary landing page for logged-in students.
Assignment Submission View
View for managing and submitting academic assignments.
Teacher Portal
Management interface for teaching staff.
Admin Console
Backend configuration for university policies.
Public Policy Chat
Interface for interacting with the university's AI bot.
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 is the primary factor driving the resource consumption in this system?
How does the system handle the storage of large assignment files?
Does the AI chatbot consume points even when not in use?
Copy to discuss with AI
Challenge & re-estimate