a university course management and digital attendance system for students and faculty
Estimated monthly cost at the usage scale below — billed by actual usage
120 req/s
Peak Concurrency
2.36 GB
Database Storage
112.5 GB
Object Storage
329.59 GB
Outbound data transfer
What is this app
This comprehensive university management platform enables students to access schedules, perform digital attendance check-ins, and submit assignments within a 30-day window. It provides faculty with tools for course tracking and grading while integrating an AI-powered assistant to handle policy inquiries. The system ensures seamless academic administration for a large campus community.
As a student, I want to see my class schedule and location so that I can arrive on time.
As a student, I want to perform a digital check-in so that my attendance is recorded.
As a student, I want to submit my assignments online to meet academic deadlines.
As a student, I want to ask the AI bot about school policies to get instant answers.
As a teacher, I want to view my class schedules to manage my teaching hours.
As a teacher, I want to review and grade student assignments to provide feedback.
As an admin, I want to update classroom assignments to handle scheduling conflicts.
15000
student_group
The primary user base consisting of 15,000 university students.
1000
faculty_group
University faculty and teachers responsible for grading and managing class materials.
50
admin_group
Back-office staff responsible for system configuration and master data management.
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 SSO login for university-wide identity management, which is a PRO tier feature.
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
120 req/s
single-tenant kit × 1
(plan/kit 175 req/s)
Covered by plan/kit (margin ~46%)
120
Database storage add-on
30.26 GB
10GB × 3/year, amortized monthly
(plan/kit 3.00 GB + add-on +27.26 GB)
Add-on fills +27.26 GB gap beyond plan/kit
25
Object storage
add-on
120.80 GB
100GB × 1/year, amortized monthly
(plan/kit 60.00 GB + add-on +60.80 GB)
Add-on fills +60.80 GB gap beyond plan/kit
2.92
Outbound data transfer add-on
353.89 GB/mo
500GB × 8/year, amortized monthly
(plan/kit 60.00 GB/mo + add-on +293.89 GB/mo)
Add-on fills +293.89 GB/mo gap beyond plan/kit
23.33
AI points add-on
481K points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~940%)
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.
3 × t4g.large × 730h
EC2 t4g.large → 147.17
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
2.54 GB-month
RDS gp3 storage → 0.29
120.80 GB-month
S3 Standard → 2.78
229.59 GB (first 100GB free)
Internet egress → 20.66
Total ≈ $403.04 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $403
Per AWS usage sizing above
≈ $2403
Infra $403 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $403
Per AWS usage sizing above
≈ $1903
Infra $403 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $403
Per AWS usage sizing above
≈ $1903
Infra $403 + 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
$270
All-in: egress / storage / auto-scaling included
$270
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 target scale of 15,000 students, we assume a corresponding faculty count of 1,000 and an administrative staff of 50 to manage the system, totaling 16,050 potential users.
This system is an academic administration platform which typically undergoes a brownfield launch where historical data for the current academic year (schedules, student lists) is pre-loaded from day one. We assume a full 360-day load to account for this stock data and continuous year-round access for student records.
Class Bell Peak Window
Assignment Deadline Rush
Class Bell Peak Window
Standard Academic Workday
Standard Academic Workday
88
times/month
120 req/s
Peak load
This scenario represents the extreme usage spikes driven by the start of lectures. We assume 4 major lecture slots per weekday, resulting in 88 occurrences per month (4 slots x 22 weekdays). The 300-second duration reflects the physical reality of students arriving and checking in just before the professor begins. Slicing this into a standalone scenario allows us to model the burst load on the attendance verification logic.
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 views their daily classes and checks in for attendance upon arrival.
A student reviews the requirements and uploads their completed assignment.
A student interacts with the AI assistant to clarify academic policies.
A teacher reviews a batch of student submissions and enters grades.
An administrator updates classroom locations or times for courses.
page
data_table
ai_agent
action_flow
Student Schedule Page
Daily overview of class times and locations for students.
Attendance Check-in Page
The interface where students confirm their presence in class.
Assignment Detail Page
Detailed assignment view with upload functionality.
AI Assistant Chat Page
Chat interface for interacting with the AI campus assistant.
Teacher Grading Dashboard
Dashboard for faculty to view, download, and grade student work.
Admin Course Management Page
Admin panel for maintaining course and classroom accuracy.
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 is the 30-day assignment retention handled in storage?
What drives the peak concurrent usage of the system?
Copy to discuss with AI
Challenge & re-estimate