a university course management and digital attendance system for students and faculty
Estimated monthly cost at the usage scale below — billed by actual usage
95 req/s
Peak Concurrency
3.76 GB
Database Storage
351.56 GB
Object Storage
996.09 GB
Outbound data transfer
What is this app
This university administrative management system enables a community of 15,000 students and faculty to manage academic life digitally. Students can access schedules, perform location-based check-ins for attendance, and submit assignments with a 30-day retention period. The platform also features an AI-powered chatbot to assist students with navigating school policies and academic inquiries.
As a student, I want to view my weekly course schedule so I know where my classes are located.
As a student, I want to check into my class using my phone so that my attendance is recorded digitally.
As a student, I want to upload my homework files so that I can submit my assignments before the deadline.
As a faculty member, I want to see the attendance list for my courses to track student participation.
As a faculty member, I want to download student assignments so I can grade their work.
As a student, I want to ask the AI assistant about school policies so I can quickly find answers to my academic questions.
As an administrator, I want to update school policy documents so that the AI provides accurate information.
15000
student
The primary user group consisting of university students.
1000
faculty_member
Academic staff responsible for teaching and grading.
50
administrator
Staff who manage school data and AI policy content.
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 at least the PRO plan to support SSO login for organization-level account management of 15,000 students and faculty.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
PRO
Pro is the minimum viable plan
Pro
(Plan tier: PRO)
See minimum viable plan above
99
single-tenant kit
95 req/s
single-tenant kit × 1
(plan/kit 175 req/s)
Covered by plan/kit (margin ~84%)
120
Database storage add-on
34.71 GB
10GB × 4/year, amortized monthly
(plan/kit 3.00 GB + add-on +31.71 GB)
Add-on fills +31.71 GB gap beyond plan/kit
33.33
Object storage
add-on
377.49 GB
100GB × 4/year, amortized monthly
(plan/kit 60.00 GB + add-on +317.49 GB)
Add-on fills +317.49 GB gap beyond plan/kit
11.67
Outbound data transfer add-on
1.07 TB/mo
500GB × 25/year, amortized monthly
(plan/kit 60.00 GB/mo + add-on +1.01 TB/mo)
Add-on fills +1.01 TB/mo gap beyond plan/kit
72.92
AI points add-on
1.6M points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~211%)
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
4.04 GB-month
RDS gp3 storage → 0.46
377.49 GB-month
S3 Standard → 8.68
896.09 GB (first 100GB free)
Internet egress → 80.65
Total ≈ $420.05 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $420
Per AWS usage sizing above
≈ $2420
Infra $420 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $420
Per AWS usage sizing above
≈ $1920
Infra $420 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $420
Per AWS usage sizing above
≈ $1920
Infra $420 + 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
$337
All-in: egress / storage / auto-scaling included
$337
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 system supports 15,000 students and faculty as stated, plus approximately 1,000 faculty members and 50 administrative staff. Total registered user capacity is set to 16,050.
As an academic administration system, this is a typical stock migration scenario. The system is expected to be fully loaded with student and course data from day one, and past academic cycles are often retained for the current year. Therefore, we use the maximum 365 days.
Morning Lecture Rush
Morning Lecture Rush
Morning Lecture Rush
Routine Academic Daytime
Evening Student Support Hub
88
times/month
95 req/s
Peak load
We assume this scenario represents the peak load on the system when thousands of students arrive on campus simultaneously. The duration of 300 seconds (5 minutes) reflects the typical grace period for attendance at the start of a lecture. Occurrences are estimated based on 4 major class blocks per day over 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.
The daily routine for a student checking their schedule, attending a class, and submitting homework.
Faculty members reviewing attendance and grading submissions for their classes.
Student using the AI assistant to clarify school rules.
Administrators updating school policy text to keep the AI assistant accurate.
page
data_table
ai_agent
action_flow
Student Dashboard
Main dashboard for students to view schedules and active courses.
Course Session View
The specific page for an active course session where check-in happens.
Assignment Detail Page
Page for viewing assignment details and uploading work.
Faculty Gradebook
The management interface for faculty to grade work and track attendance.
AI Chat Support
AI-powered support page for school policy questions.
Admin Policy Console
Backend console for updating policy text.
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 are the primary drivers of resource consumption in this system?
How does the 30-day retention policy affect storage?
Can the AI chatbot handle 15,000 users?
Copy to discuss with AI
Challenge & re-estimate