a university administrative management system for students and faculty
Estimated monthly cost at the usage scale below — billed by actual usage
140 req/s
Peak Concurrency
3.33 GB
Database Storage
58.59 GB
Object Storage
1 TB
Outbound data transfer
What is this app
A comprehensive administrative platform for universities where students can manage their academic life by viewing schedules, checking into classes, and submitting assignments. Teachers can post coursework and monitor attendance, while an AI chatbot provides 24/7 support for school policy inquiries. The system ensures efficient resource management with a built-in 30-day retention policy for assignment files.
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 presence is recorded.
As a student, I want to submit assignment files so that I can complete my coursework.
As a student, I want to chat with an AI assistant so that I can get quick answers to school policy questions.
As a teacher, I want to post assignments with briefings so that students know their tasks.
As a teacher, I want to view student submissions and attendance records so that I can track their progress.
As an administrator, I want to manage school policies and schedules so that the system remains accurate.
15000
students
The primary user base consisting of 15,000 university students.
1000
teachers
University faculty responsible for posting assignments and monitoring class attendance.
100
administrators
Staff responsible for system maintenance and academic policy updates.
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 institutional student account management through SSO. Note that the current selection is based on the requirement for at least the PRO plan.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
PRO
Pro
(Plan tier: PRO)
99
single-tenant kit
140 req/s
single-tenant kit × 1
(plan/kit 175 req/s)
Covered by plan/kit (margin ~25%)
120
Database storage add-on
35.81 GB
10GB × 4/year, amortized monthly
(plan/kit 3.00 GB + add-on +32.81 GB)
Add-on fills +32.81 GB gap beyond plan/kit
33.33
Object storage
add-on
62.91 GB
100GB × 1/year, amortized monthly
(plan/kit 60.00 GB + add-on +2.91 GB)
Add-on fills +2.91 GB gap beyond plan/kit
2.92
Outbound data transfer add-on
1.10 TB/mo
500GB × 25/year, amortized monthly
(plan/kit 60.00 GB/mo + add-on +1.04 TB/mo)
Add-on fills +1.04 TB/mo gap beyond plan/kit
72.92
AI points add-on
5.1M points
6,000,000 AI Points × 1/month
(plan/kit 11.0M points + add-on +68K points)
Add-on fills +68K 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.
3 × t4g.large × 730h
EC2 t4g.large → 147.17
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
3.57 GB-month
RDS gp3 storage → 0.41
62.91 GB-month
S3 Standard → 1.45
900.00 GB (first 100GB free)
Internet egress → 81
Total ≈ $462.17 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $462
Per AWS usage sizing above
≈ $2462
Infra $462 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $462
Per AWS usage sizing above
≈ $1962
Infra $462 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $462
Per AWS usage sizing above
≈ $1962
Infra $462 + 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
$338
All-in: egress / storage / auto-scaling included
$338
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 school has 15,000 students. We estimate an additional 1,000 faculty members and 100 administrative staff, bringing the total registered user pool to approximately 16,100.
This is a university administrative system, which typically migrates existing records or starts fully operational for a school year. We assume the system is at full operational capacity from the start of the assessment period. Therefore, we use 365 days.
Morning Class Start Peak
Morning Class Start Peak
Morning Class Start Peak
Routine Daily Operations
Routine Daily Operations
88
times/month
140 req/s
Peak load
We assume a 'strong synchronized assembly' driven by the class bell. University classes typically start at 4 distinct times throughout a weekday morning. With 22 weekdays per month, this scene occurs 88 times. The 300-second duration represents the physical window where the vast majority of students arrive and check into the system 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.
Student checks their schedule and performs a check-in for the current class.
Student views assignment details and submits their work file.
Student or teacher asks the AI chatbot about university policies.
Teacher manages coursework and reviews student submissions.
Administrator updates the school policy knowledge base.
page
data_table
ai_agent
action_flow
Student Schedule View
Primary dashboard for students to see their timetable and check-in.
Assignment Detail View
Detailed page for a specific assignment with submission capabilities.
AI Help Center View
Chat interface for students to interact with the university policy bot.
Teacher Dashboard
Teacher's portal to manage assignments and track attendance.
Admin Management Console
Administrative interface for updating system-wide policies and 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 does the system handle high concurrency during morning class check-ins?
What happens to assignment files after 30 days?
Copy to discuss with AI
Challenge & re-estimate