a comprehensive university administrative system for course management, attendance, and AI-powered student support
Estimated monthly cost at the usage scale below — billed by actual usage
120 req/s
Peak Concurrency
3.61 GB
Database Storage
58.59 GB
Object Storage
13.75 GB
Monthly Outbound Traffic
What is this app
This university administrative management system empowers 15,000 students to efficiently manage their academic life by viewing personalized schedules, classroom locations, and checking in for attendance. Students can seamlessly submit assignments with integrated file handling and get instant support through an AI customer service chatbot trained on school policies. The platform provides administrators and faculty with tools to coordinate classes, track attendance, and manage student submissions within a secure and scalable environment.
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 check in for attendance via the system before class starts to record my presence.
As a student, I want to submit my assignment files through the portal so that they can be graded by my teacher.
As a student, I want to ask an AI chatbot about school policies so that I can get immediate answers to administrative questions.
As a teacher, I want to view the attendance records for my classes to monitor student participation.
As a teacher, I want to download student assignment submissions for grading.
As an admin, I want to manage the course schedule and classroom assignments to keep the system data accurate.
As an admin, I want to update university policy documents so that the AI chatbot provides current information.
15000
student
The primary user base consisting of all enrolled university students.
1000
teacher
Faculty members responsible for teaching courses and managing attendance/assignments.
50
administrator
System and school administrators who manage the master data and AI knowledge base.
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 university requires professional branding, a custom domain for long-term operations, and specifically SSO for managing 15,000 student accounts.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
PRO
Pro
(Plan tier: PRO)
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
31.67 GB
10GB × 3/year, amortized monthly
(plan/kit 3.00 GB + add-on +28.67 GB)
Add-on fills +28.67 GB gap beyond plan/kit
25
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
14.76 GB/mo
not purchased
(plan/kit 60.00 GB/mo)
Covered by plan/kit (margin ~306%)
0
AI points add-on
772K points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~548%)
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
3.88 GB-month
RDS gp3 storage → 0.45
62.91 GB-month
S3 Standard → 1.45
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $381.2 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $381
Per AWS usage sizing above
≈ $2381
Infra $381 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $381
Per AWS usage sizing above
≈ $1881
Infra $381 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $381
Per AWS usage sizing above
≈ $1881
Infra $381 + 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
$247
All-in: egress / storage / auto-scaling included
$247
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 core user base consists of 15,000 students as specified. Based on typical university staffing ratios, we estimate approximately 1,000 teachers and 50 administrative staff members, resulting in a total registered user pool of 16,050.
This is a university administrative system, which functions as a migration/stock system. It is expected to be fully populated with student and course data from day one, and it operates at a consistent load throughout the academic year. Therefore, we use the maximum 365 days to reflect a full year of accumulated data.
Class Check-in Peak
Assignment Deadline Rush
Routine AI Support Window
Staff Working Hours
88
times/month
We assume students check in during a 5-minute window before the bell. With 4 major class blocks per day on 22 weekdays, this occurs 88 times per month. This is a strong synchronization scene driven by school bells.
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 routine flow for a student arriving at class, viewing their schedule to find the room, and checking in.
The flow for a student to view pending homework and upload their completed file.
A student asking the AI assistant multiple questions about university policies.
A teacher reviewing class attendance and downloading submitted homework files.
Administrator updating school schedules and refreshing policy documents for the AI.
page
data_table
ai_agent
action_flow
Schedule Overview
Dashboard for students to view their course timetable and locations.
Attendance Check-in
Simplified check-in interface for pre-class attendance.
Assignment Portal
Interface for students to browse and submit assignments.
AI Support Center
Chat interface for students to interact with the AI chatbot.
Teacher Management Console
Management interface for teachers to track attendance and submissions.
Admin Policy Dashboard
Internal management screen for system administrators.
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 peak system load in this university system?
How does the 30-day assignment retention policy affect storage?
How is school policy data integrated with the AI chatbot?
Copy to discuss with AI
Challenge & re-estimate