a university administration system for students
Estimated monthly cost at the usage scale below — billed by actual usage
238 req/s
Peak Concurrency
5.09 GB
Database Storage
85.72 GB
Object Storage
16.44 GB
Outbound data transfer
What is this app
This university administrative management system serves approximately 15,000 students along with faculty and university administrators. Students can view class schedules and classroom locations, submit assignment files, check in for attendance before class, review their submissions, and ask an AI-powered student support chatbot about university policies and related matters. Assignment submission files are retained for 30 days, with the design applying that retention policy to reduce storage usage.
As a student, I want to view my class schedule and classroom locations so that I know where and when to attend class.
As a student, I want to submit an assignment file so that my coursework is recorded for review.
As a student, I want to check in for attendance before class so that my attendance is recorded.
As a student, I want to ask the AI-powered student support chatbot about university policies so that I can obtain administrative guidance.
As a student, I want to review my assignment submission history so that I can confirm what I submitted.
As a faculty member, I want to review submitted assignment files and record grades or feedback so that student coursework can be evaluated.
As a university administrator, I want to create and maintain courses, class sections, schedules, classroom locations, and assignments so that students and faculty have accurate academic information.
15000
students
Enrolled university students who view schedules, submit assignments, check in for attendance, review submissions, and use AI-powered student support.
1000
faculty_staff
Instructors and teaching staff who manage coursework and review or grade student submissions.
50
university_administrators
Academic and system administrators who create and maintain courses, class sections, schedules, classroom locations, and assignments.
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
Multiple workflows and AI chatbot require expanded capacity; institutional ongoing publishing and branding require BASIC.
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
238 req/s
single-tenant kit × 2
(plan/kit 305 req/s)
Covered by plan/kit (margin ~28%)
240
Database storage add-on
7.60 GB
10GB × 1/year, amortized monthly
(plan/kit 4.20 GB + add-on +3.40 GB)
Add-on fills +3.40 GB gap beyond plan/kit
8.33
Object storage
add-on
92.04 GB
not purchased
(plan/kit 102.00 GB)
Covered by plan/kit (margin ~11%)
0
Outbound data transfer add-on
17.65 GB/mo
not purchased
(plan/kit 102.00 GB/mo)
Covered by plan/kit (margin ~478%)
0
AI points add-on
53.1M points
6,000,000 AI Points × 9/month
(plan/kit 55.0M points + add-on +52.1M points)
Add-on fills +52.1M points gap beyond plan/kit
90
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.
5 × t4g.large × 730h
EC2 t4g.large → 245.28
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
5.46 GB-month
RDS gp3 storage → 0.63
92.04 GB-month
S3 Standard → 2.12
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $480.16 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / build in-house
about $300,000 - $500,000
≈ $480
Based on the AWS estimate above
≈ $2,480
Infra $480 + ops ~$2,000
6-10 months
5 / 5
Vibe Coding
about $100,000 - $180,000
≈ $480
Based on the AWS estimate above
≈ $1,980
Infra $480 + ops ~$1,500
2-4 months
3 / 5
AI full-stack generation
about $70,000 - $140,000
≈ $480
Based on the AWS estimate above
≈ $1,980
Infra $480 + ops ~$1,500
1-3 months
4 / 5
Off-the-shelf SaaS / vertical solution
about $80,000 - $160,000
N/A
Priced per seat, not by cloud infra
≈ $16,000+
Per-seat pricing, tens of thousands of users
1-3 months
2 / 5
Momen
Recommended
$0
$377
All-in: egress / storage / auto-scaling included
$377
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 has approximately 15,000 students because that figure is stated in the requirements, and that the system also serves a smaller pool of faculty and administrative staff because they must create, manage, and review academic records. We use a stable registered population of 15,000 students, 1,000 faculty and staff, and 50 university administrators, with no public visitor pool because the described system is an authenticated university service. If the university has a materially different staff population or opens schedule browsing publicly, this parameter can be adjusted.
We assume this is a university administration system that launches with a full pre-existing dataset because academic schedules, class sections, enrollments, assignments, and user accounts need to be available from the beginning of operation. This type of institutional system is typically fully loaded from day one rather than growing like a newly launched consumer product, so the equivalent accumulation period uses the full annual operating horizon. If the system starts with only a small pilot cohort and gradually onboards the university, this parameter can be reduced.
Pre-class Attendance Peak
Routine Academic Operations
Pre-class Attendance Peak
Routine Academic Operations
Student Support Chat Period
88
times/month
237.5 req/s
Peak load
We assume this is a separate high-concurrency scenario because class start times create a strong external synchronization signal and many students attempt attendance within a short window. The purpose contains only attendance completion, rather than mixing in unrelated schedule browsing. A 120-second duration reflects a realistic check-in period before class, and 88 monthly occurrences represent several class periods on approximately 22 weekdays. If the university permits attendance at more varied times, the duration and frequency can be broadened.
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 student review of classes, classroom locations, assignments, and submission history.
Student workflow for opening an assignment, uploading work, and reviewing the retained submission.
Pre-class student attendance check-in.
Student inquiry workflow for university policies and related administrative questions.
Faculty workflow for reviewing submitted assignment files and recording grades or feedback.
Administrative setup and maintenance of courses, class sections, schedules, classroom locations, and assignments.
page
data_table
ai_agent
action_flow
Student Portal
Authenticated student landing view for schedules, current assignments, and submission history.
Assignment Submission Page
Assignment detail and submission page for uploading and reviewing one student assignment file.
Attendance Check-in Page
Pre-class page for identifying the current class and recording student attendance.
AI Support Chat Page
Text conversation view for student questions about university policies and related administrative matters.
Faculty Assignment Management Page
Instructor workspace for viewing assignments, reviewing submission files, and recording grades or feedback.
Administration Management Page
Administrative workspace for creating and maintaining courses, class sections, schedules, classroom locations, and assignments.
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 drives the expected system scale?
How does the 50% storage reduction request affect the design?
Which users are expected to create the most activity?
Does the chatbot require persistent data storage?
What is included in the initial product scope?
Copy to discuss with AI
Challenge & re-estimate