ITCS $448$: Cloud Computing

$1$

st semester $2023-2024$

Cloud Computing Project

Due: Tuesday $26/12/2023$

Project Title: Designing a Scalable and Reliable Attendance Management System.

Project Description:

In this project, you will design and document an architecture for $$SmartAttedndece$$ a company that offers

smart solutions to schools, universities, and educational institutions.

The goal is to build a highly available, reliable, and scalable, robust and efficient attendance management

system that leverages AWS services to handle image processing, face recognition, and data storage.

System utilizes cameras placed in classrooms to capture images every $5$ minutes, which are then processed

for face recognition in the cloud. The attendance data is stored in a database and made accessible to

instructors and students through a web page.

Key Deliverables:

$1.$ System Architecture: Design a comprehensive architecture that encompasses all essential

components, including cameras, image processing, face recognition, database, web interface, and

necessary AWS services.

$2.$ Data Storage and Management: Design a scalable and reliable database solution using services

like Amazon DynamoDB or Amazon RDS to store attendance records securely$.$

$3.$ Documentation: Prepare detailed documentation $($around $1500$ words$)$ outlining the architectural

design, implementation details, and any additional considerations.

$$ Include screenshots of key components like security groups, scaling groups, and routing

tables, capturing the entire page to show the chosen region.

$$ Prepare a cost estimation for an institution that has $20000$ students and $1000$ sections per

semester.

$4.$ Presentation: Prepare a $5$ minutes presentation to explain and justify your design.

Project Guidelines:

$1.$ You may work in teams of $[5]$ to collaborate on the project.

$2.$ Ensure the system is fault$-$tolerant, highly available, and scalable to handle varying loads.

$3.$ Implement appropriate security measures to protect sensitive data and ensure privacy.

$4.$ Consider performance optimization techniques to ensure efficient image processing and face

recognition.

$5.$ Regularly document your progress, challenges faced, and solutions implemented.

$6.$ The report should have a word count of approximately $1500$ words.

Submission:

$$ The deadline for report submission is Tuesday $26/12/2023[$Hardcopy $+$ Blackboard$]$

$$ One submission per team only. $[$One student per team should submit the report.$]$