a university management system for student attendance, assignments, and AI-powered policy support
Estimated monthly cost at the usage scale below — billed by actual usage
100 req/s
Peak Concurrency
4.13 GB
Database Storage
544.01 GB
Object Storage
292.97 GB
Monthly Outbound Traffic
What is this app
This university administrative management system streamlines academic life for 15,000 students and their faculty. It provides real-time access to course schedules and classroom locations while enabling digital attendance check-ins to replace manual logs. Students can submit assignments through a secure portal with an automated 30-day retention window, and access an AI-powered chatbot for instant answers to university policy and academic inquiries.
As a student, I want to view my course schedule and classroom locations so that I can get to my classes on time.
As a student, I want to check in digitally for attendance so that my presence is recorded without manual logs.
As a student, I want to submit my assignments online so that my work is turned in before the deadline.
As a student, I want to ask an AI chatbot about university policies so that I can get immediate answers to administrative questions.
As a faculty member, I want to create assignments and upload requirement files so that students know what work is expected.
As a faculty member, I want to review attendance records for my courses so that I can track student engagement.
As an administrator, I want to manage user accounts so that the system remains secure and up to date.
15000
student_user
Students enrolled in the university who access schedules, check-ins, and assignments.
1000
faculty_user
Faculty members who manage courses, assignments, and monitor attendance.
50
admin_user
Administrative staff who oversee the system and manage global user data.
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 current selection is based on the requirement for the PRO plan to support SSO login for a large-scale institutional user base.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
PRO
Pro
(Plan tier: PRO)
99
single-tenant kit
100 req/s
single-tenant kit × 1
(plan/kit 175 req/s)
Covered by plan/kit (margin ~75%)
120
Database storage add-on
31.82 GB
10GB × 3/year, amortized monthly
(plan/kit 3.00 GB + add-on +28.82 GB)
Add-on fills +28.82 GB gap beyond plan/kit
25
Object storage
add-on
584.13 GB
100GB × 6/year, amortized monthly
(plan/kit 60.00 GB + add-on +524.13 GB)
Add-on fills +524.13 GB gap beyond plan/kit
17.5
Outbound data transfer add-on
314.57 GB/mo
500GB × 7/year, amortized monthly
(plan/kit 60.00 GB/mo + add-on +254.57 GB/mo)
Add-on fills +254.57 GB/mo gap beyond plan/kit
20.42
AI points add-on
1.2M points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~316%)
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.
2 × t4g.large × 730h
EC2 t4g.large → 98.11
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
4.44 GB-month
RDS gp3 storage → 0.51
584.13 GB-month
S3 Standard → 13.43
192.97 GB (first 100GB free)
Internet egress → 17.37
Total ≈ $361.56 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $362
Per AWS usage sizing above
≈ $2362
Infra $362 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $362
Per AWS usage sizing above
≈ $1862
Infra $362 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $362
Per AWS usage sizing above
≈ $1862
Infra $362 + 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
$282
All-in: egress / storage / auto-scaling included
$282
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 project description of 15,000 students, we estimate an additional 1,000 faculty members and 50 administrators are required to manage the courses and policies. This brings the total user pool to 16,050.
A university management system is typically a high-stability infrastructure product. We assume that upon launch, the system will either be populated with historical data from the previous academic year or will immediately reach its full operational scale for the current semester. Therefore, the equivalent continuous running days is set to the maximum of 365 to reflect a fully loaded data state.
Classroom Transition Peak
Standard Academic Day
Administrative Office Hours
88
times/month
This scene represents the 5-minute window (300 seconds) at the start of major class blocks where students check in via their mobile devices. We assume 4 major class transition periods per day over 22 weekdays per month, resulting in 88 occurrences. This is a strong-synchronization scene driven by the university timetable.
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.
A student checks their daily course schedule and classroom locations.
A student performs a digital check-in upon arriving at a classroom.
A student views pending assignments and submits their work.
A student interacts with the AI chatbot to ask about school policies.
A faculty member creates a new assignment for their course.
A faculty member reviews the attendance data for their class sessions.
An administrator manages the university user accounts.
page
data_table
ai_agent
action_flow
Schedule View
Displays a calendar or list of class sessions and locations.
Attendance Page
A dedicated page for recording and viewing class attendance.
Assignment Portal
Portal for viewing assignment details and submitting work.
AI Support Center
Interface for interacting with the AI policy assistant.
User Management View
Internal dashboard for administrators to manage users.
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 defines the scale of this system?
How does the 30-day retention window affect resources?
How is AI resource consumption calculated?
Copy to discuss with AI
Challenge & re-estimate