a university administrative system for student schedules, attendance, and AI support
Estimated monthly cost at the usage scale below — billed by actual usage
80 req/s
Peak Concurrency
1.87 GB
Database Storage
46.88 GB
Object Storage
What is this app
This university administrative management system enables 15,000 students to view their class schedules and classroom locations, submit assignments, and record attendance check-ins. It features an AI-powered customer service chatbot to assist with school policy inquiries. The system also includes an automated 30-day retention policy for assignment files to optimize resource usage.
As a student, I want to view my class schedule and classroom locations so that I can attend classes on time.
As a student, I want to check in for attendance via the system so that my participation is recorded.
As a student, I want to submit my assignments through the system so that my teachers can grade them.
As a student, I want to chat with an AI assistant so that I can quickly find information about school policies.
As a teacher, I want to view attendance reports for my classes so that I can track student engagement.
As an administrator, I want to manage course schedules and classroom assignments so that students have accurate information.
15000
student
University students who use the system for schedules, attendance, and submissions.
1000
teacher
Faculty members who monitor attendance and review assignments.
50
administrator
Staff members who manage system data and 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
BASIC
The system requires unlimited workflows and AI agents for long-term university operations, which are supported starting from the BASIC plan.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
Basic
Basic
(Plan tier: BASIC)
39
single-tenant kit
80 req/s
single-tenant kit × 1
(plan/kit 155 req/s)
Covered by plan/kit (margin ~94%)
120
Database storage add-on
20.69 GB
10GB × 2/year, amortized monthly
(plan/kit 2.20 GB + add-on +18.49 GB)
Add-on fills +18.49 GB gap beyond plan/kit
16.67
Object storage
add-on
50.33 GB
not purchased
(plan/kit 52.00 GB)
Covered by plan/kit (margin ~3%)
0
Outbound data transfer add-on
0 B/mo
not purchased
(plan/kit 52.00 GB/mo)
No requirement
0
AI points add-on
2.3M points
6,000,000 AI Points × 1/month
(plan/kit 7.0M points + add-on +1.3M points)
Add-on fills +1.3M points gap beyond plan/kit
10
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
2.00 GB-month
RDS gp3 storage → 0.23
50.33 GB-month
S3 Standard → 1.16
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $331.64 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $332
Per AWS usage sizing above
≈ $2332
Infra $332 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $332
Per AWS usage sizing above
≈ $1832
Infra $332 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $332
Per AWS usage sizing above
≈ $1832
Infra $332 + 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
$186
All-in: egress / storage / auto-scaling included
$186
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 1,000 teachers and 50 administrators, bringing the total registered user base to approximately 16,050.
University administration systems are typically migration projects or stable systems where data is fully loaded from the start of the academic year. Therefore, we assume an effective accumulation of 365 days to reflect a full year of operational data.
Morning/Afternoon Class Start Peak
Standard Daytime Operations
Morning/Afternoon Class Start Peak
Standard Daytime Operations
88
times/month
80 req/s
Peak load
We assume this scene represents the high-concurrency moments just before classes begin. With 15,000 students, up to 6,000 may be checking in within a tight 300-second window across various lecture halls. This occurs roughly 4 times a day on school days.
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 upcoming classes for the week.
A student marks themselves as present at the start of a class session.
A student uploads and submits a file for a specific assignment.
A student asks questions to the AI bot regarding school policies.
A teacher reviews the attendance records for their courses.
An administrator updates the classroom location or time for a course.
page
data_table
ai_agent
action_flow
Schedule Page
A calendar view for students to see their classes.
Attendance Page
Interface for students to mark attendance.
Assignment Detail Page
Detail view for a specific assignment with submission entry.
AI Support Page
Chat interface for school policy support.
Teacher Dashboard
Reporting dashboard for faculty.
Admin Management View
Administrative data entry for 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.
What is the expected user scale for this system?
How does the system handle the 30-day assignment retention policy?
How does the AI customer service work?
Copy to discuss with AI
Challenge & re-estimate