a comprehensive university administrative portal for student schedules and academic management
Estimated monthly cost at the usage scale below — billed by actual usage
40 req/s
Peak Concurrency
1.89 GB
Database Storage
39.06 GB
Object Storage
What is this app
This university administrative management system enables 15,000 students to efficiently manage their daily academic lives. Students can access their class schedules with precise classroom locations, perform pre-class attendance check-ins, and submit assignments directly through the portal. The system features an AI-powered policy chatbot to handle student inquiries and maintains an automated 30-day retention policy for all submitted files, ensuring a streamlined and organized digital campus experience.
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 submit assignments for my courses before the deadline.
As a student, I want to check in for attendance before each class starts.
As a student, I want to ask the AI chatbot about school policies to get instant answers.
As a teacher, I want to create assignments for my students to complete.
As a teacher, I want to monitor student attendance to track participation.
As an admin, I want to manage the overall university schedule to keep the system up to date.
15000
student_user
The primary users who view schedules, check in, and submit homework.
1000
teacher_user
Faculty members who create assignments and monitor student attendance.
50
admin_user
System administrators who manage global schedules and system settings.
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 managing 15,000 students requires SSO login for secure institutional account management, 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
40 req/s
single-tenant kit × 1
(plan/kit 175 req/s)
Covered by plan/kit (margin ~338%)
120
Database storage add-on
19.89 GB
10GB × 2/year, amortized monthly
(plan/kit 3.00 GB + add-on +16.89 GB)
Add-on fills +16.89 GB gap beyond plan/kit
16.67
Object storage
add-on
41.94 GB
not purchased
(plan/kit 60.00 GB)
Covered by plan/kit (margin ~43%)
0
Outbound data transfer add-on
0 B/mo
not purchased
(plan/kit 60.00 GB/mo)
No requirement
0
AI points add-on
661K points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~656%)
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
2.03 GB-month
RDS gp3 storage → 0.23
41.94 GB-month
S3 Standard → 0.96
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $331.45 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $331
Per AWS usage sizing above
≈ $2331
Infra $331 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $331
Per AWS usage sizing above
≈ $1831
Infra $331 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $331
Per AWS usage sizing above
≈ $1831
Infra $331 + 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
$236
All-in: egress / storage / auto-scaling included
$236
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 project specifies 15,000 students. We assume an additional 1,000 teachers and 50 administrative staff are required to manage courses and schedules, bringing the total registered population to 16,050. If the university's faculty-to-student ratio is significantly different, this total can be scaled.
University administrative systems are essential infrastructure that remains fully loaded throughout the academic year. We assume the system effectively operates at full capacity from day one of the semester. Therefore, we use 365 days to represent a full year of accumulated academic data. If the system is only used during semesters, this value could be adjusted to ~200 days.
Class Start Peak Window
Daily Routine Operations
Assignment Deadline Peak
176
times/month
We assume a university operates 8 class periods per day, 22 weekdays per month, resulting in 176 occurrences. The 300-second duration represents the typical 'strong synchronization' period where students arrive at classrooms and verify attendance 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.
The sequence a student follows to view their classes and record attendance each day.
The process of finding an assignment and submitting a file.
Students interacting with the AI chatbot to resolve policy questions.
Teacher's routine of managing their courses and students.
Administrative bulk updates to the university class schedule.
page
data_table
ai_agent
action_flow
Student Dashboard
Main landing page for students to see their schedule and check in.
Assignment Submission Page
Page for students to browse and submit assignments.
AI Assistant Page
Chat interface for interacting with the AI policy assistant.
Teacher Portal
Management interface for faculty to create assignments and track attendance.
Admin Portal
Internal tool for administrators to manage class schedules.
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 is the 30-day assignment retention policy enforced?
What drives the system's storage and bandwidth usage?
How does the AI chatbot know about school policies?
Copy to discuss with AI
Challenge & re-estimate