a university administrative management system for students and faculty
Estimated monthly cost at the usage scale below — billed by actual usage
160 req/s
Peak Concurrency
3.85 GB
Database Storage
117.19 GB
Object Storage
593.75 GB
Monthly Outbound Traffic
What is this app
A comprehensive university administrative platform allowing 15,000 students to track schedules, check in for classes, and submit assignments. It features an AI-powered customer service chatbot for policy inquiries and provides teachers with tools for attendance and assignment management. The system ensures efficient data management with automated 30-day retention policies for assignment files.
As a student, I want to view my class schedule and classroom locations so I can find where I need to go.
As a student, I want to check in for attendance before class so my presence is recorded.
As a student, I want to submit my assignments through the system so I can complete my coursework.
As a student, I want to chat with an AI assistant about school policies so I can get immediate answers to my questions.
As a teacher, I want to view attendance logs for my classes so I can track student participation.
As a teacher, I want to review student assignment submissions so I can grade them.
As an admin, I want to update university policies in the system so the AI chatbot provides accurate information.
15000
student
University students who view schedules, check in for classes, and submit assignments.
1000
teacher
Faculty members who manage course schedules, monitor attendance, and review assignments.
50
administrator
System administrators who manage university policies and overall system 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 project requires SSO login to manage 15,000 student accounts securely within a university infrastructure, which is a PRO feature.
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
41.18 GB
10GB × 4/year, amortized monthly
(plan/kit 3.00 GB + add-on +38.18 GB)
Add-on fills +38.18 GB gap beyond plan/kit
33.33
Object storage
add-on
125.83 GB
100GB × 1/year, amortized monthly
(plan/kit 60.00 GB + add-on +65.83 GB)
Add-on fills +65.83 GB gap beyond plan/kit
2.92
Outbound data transfer add-on
637.53 GB/mo
500GB × 14/year, amortized monthly
(plan/kit 60.00 GB/mo + add-on +577.53 GB/mo)
Add-on fills +577.53 GB/mo gap beyond plan/kit
40.83
AI points add-on
1.2M points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~325%)
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
4.13 GB-month
RDS gp3 storage → 0.48
125.83 GB-month
S3 Standard → 2.89
493.75 GB (first 100GB free)
Internet egress → 44.44
Total ≈ $476.17 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $476
Per AWS usage sizing above
≈ $2476
Infra $476 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $476
Per AWS usage sizing above
≈ $1976
Infra $476 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $476
Per AWS usage sizing above
≈ $1976
Infra $476 + 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
$296
All-in: egress / storage / auto-scaling included
$296
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.
The university has 15,000 students. We estimate approximately 1,000 faculty/staff members and 50 system administrators, totaling 16,050 registered users.
A university administration system is a typical stock-migration system that is fully populated with student, teacher, and course data from day one. Therefore, we use the maximum value of 365 days to reflect a full year of operational data.
Class Start Peak Check-in
Daily Academic Routine
Weekend Submission Rush
88
times/month
We assume a strong synchronized assembly where students check in within a 5-minute (300s) window at the start of each major lecture block. Based on a standard 4-lecture-per-day schedule over 22 weekdays, the monthly frequency is 88. This scene isolates the intense write-heavy burst of attendance records.
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 flow where a student checks their schedule and classroom location.
High-concurrency flow where students check in for attendance just before class begins.
Student views assignment requirements and uploads their submission.
Student interacts with the AI chatbot to ask about university policies.
Teachers review student attendance and downloaded submitted assignments.
Admin updates university policies to keep the AI bot's knowledge base current.
page
data_table
ai_agent
action_flow
Student Dashboard
The landing page for students showing their daily class schedule.
Assignment Detail Page
View assignment requirements and submit files.
Attendance Page
Interface for pre-class attendance check-ins.
AI Help Center
Chat interface for policy inquiries.
Teacher Portal
Teacher's dashboard for attendance and assignment tracking.
Admin Policy Manager
Interface for managing school policy data.
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 are the main drivers of resource consumption in this system?
How does the system handle the 30-day retention for assignment files?
What affects the AI budget for this project?
Copy to discuss with AI
Challenge & re-estimate