a university administration system for students
Estimated monthly cost at the usage scale below — billed by actual usage
475 req/s
Peak Concurrency
8.19 GB
Database Storage
623.62 GB
Object Storage
444.73 GB
Outbound data transfer
What is this app
This university administrative management system serves approximately 30,000 students along with teaching and administrative staff. Students can view class schedules and classroom locations, access and submit assignments, check in for attendance before class, and ask an AI customer service chatbot about university policies. Assignment files are retained for 30 days.
As a student, I want to view my class schedule and classroom locations so that I know where and when to attend classes
As a student, I want to view assignments for my classes and submit assignment files so that I can complete coursework
As a student, I want to check in before each class so that my attendance is recorded
As a student, I want to ask the AI customer service chatbot about university policies so that I can get quick answers
As a teacher, I want to create assignments for my class sections so that students have coursework to complete
As a teacher, I want to review student submissions and attendance records so that I can manage class work and attendance
As an administrator, I want to maintain class sections, schedules, teachers, and classroom locations so that students and teachers have current academic information
30000
students
University students who view schedules, access assignments, submit files, check in for attendance, and use AI-powered student support.
1000
teachers
Teaching staff who create assignments and review student submissions and attendance records.
50
administrators
Academic and system administrators who maintain class sections, schedules, teachers, and classroom locations.
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
Institutional production system requires ongoing publishing, custom branding, and watermark removal; the current selection is based on the requirement for at least the BASIC plan.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
Basic
Basic is the minimum viable plan
Basic
(Plan tier: BASIC)
See minimum viable plan above
39
single-tenant kit
475 req/s
single-tenant kit × 4
(plan/kit 605 req/s)
Covered by plan/kit (margin ~27%)
480
Database storage add-on
9.39 GB
10GB × 1/year, amortized monthly
(plan/kit 8.20 GB + add-on +1.19 GB)
Add-on fills +1.19 GB gap beyond plan/kit
8.33
Object storage
add-on
669.61 GB
100GB × 5/year, amortized monthly
(plan/kit 202.00 GB + add-on +467.61 GB)
Add-on fills +467.61 GB gap beyond plan/kit
14.58
Outbound data transfer add-on
477.52 GB/mo
500GB × 7/year, amortized monthly
(plan/kit 202.00 GB/mo + add-on +275.52 GB/mo)
Add-on fills +275.52 GB/mo gap beyond plan/kit
20.42
AI points add-on
201.6M points
6,000,000 AI Points × 34/month
(plan/kit 205.0M points + add-on +200.6M points)
Add-on fills +200.6M points gap beyond plan/kit
340
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.
10 × t4g.large × 730h
EC2 t4g.large → 490.56
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
8.80 GB-month
RDS gp3 storage → 1.01
669.61 GB-month
S3 Standard → 15.4
344.73 GB (first 100GB free)
Internet egress → 31.03
Total ≈ $770.14 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / build in-house
about $450,000 - $750,000
≈ $770
Based on the AWS estimate above
≈ $2,770
Infra $770 + ops ~$2,000
6-12 months
5 / 5
Vibe Coding
about $140,000 - $260,000
≈ $770
Based on the AWS estimate above
≈ $2,270
Infra $770 + ops ~$1,500
2-4 months
3 / 5
AI full-stack generation
about $90,000 - $180,000
≈ $770
Based on the AWS estimate above
≈ $2,270
Infra $770 + ops ~$1,500
1-3 months
4 / 5
Off-the-shelf SaaS / vertical solution
about $180,000 - $350,000
N/A
Priced per seat, not by cloud infra
≈ $16,000+
Per-seat pricing, tens of thousands of users
2-6 months
2 / 5
Momen
Recommended
$0
$902
All-in: egress / storage / auto-scaling included
$902
2-6 weeks
4 / 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.
We assume the university population has increased to approximately 30,000 students as specified in the adjustment request, together with the same baseline supporting population of about 1,000 teaching staff and 50 administrators. These registered groups define the stable account population, and the described authenticated academic functions do not require anonymous visitors.
We assume the university system launches with a full pre-existing dataset of users, courses, class sections, enrollments, and schedules because academic records are normally loaded for the operating period. The system therefore carries substantial activity from launch rather than building gradually. If the product begins with no existing academic data and grows gradually, this parameter can be adjusted accordingly.
Pre-Class Attendance Peak
Pre-Class Attendance Peak
Pre-Class Attendance Peak
Assignment Deadline and Review Cycle
AI Support Chat Period
88
times/month
475 req/s
Peak load
We assume attendance check-in is a standalone high-concurrency scenario because the class schedule acts as an external synchronization signal and many students attempt the action shortly before class begins. The purpose is kept separate from schedule browsing and assignment activity because the attendance write has a distinct timing pattern and business objective. A 120-second duration represents the narrow pre-class window, and 88 monthly occurrences represent approximately four class periods on each of 22 weekdays.
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 reviews the current class schedule and coursework.
Student reviews and submits coursework.
Student completes pre-class attendance check-in.
Student asks the AI customer service chatbot about university policies.
Teacher creates coursework for a class.
Teacher reviews submitted assignment files.
Teacher reviews attendance for a class.
Teacher reviews assignment requirements.
Administrator maintains class sections, schedules, teachers, and classroom locations.
Administrator inspects the academic schedule.
page
data_table
ai_agent
Student Dashboard
A student's starting page for class schedules, classroom locations, and current assignments.
Assignment Detail Page
Assignment instructions, requirement-file access, and student submission entry.
Attendance Check-in Page
The student-facing page for verifying a class and recording attendance.
AI Support Chat Page
A text conversation page for AI-powered student support about university policies.
Teacher Assignment Management Page
Teacher workspace for creating assignments and reviewing uploaded student submissions.
Teacher Attendance Management Page
Teacher-facing attendance review for enrolled classes and class sessions.
Academic Administration Page
Administrative workspace for maintaining class sections, schedules, teachers, and classroom locations.
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 determines the system's resource usage?
How does the 30-day assignment retention policy affect the plan?
When will attendance create the highest load?
What affects AI chatbot consumption?
Why are teacher and administrator roles included?
Copy to discuss with AI
Challenge & re-estimate