Category Final Year Project

CDCS2535C-20244

CDCS2535A-20244

Assessments (CSP 600)

Assessments


 Assignment 30% (Lecturer)

  • 10% Assignment 1 (Project Motivation) (Form F2) – Due date (5/5/2024)
  • 10% Assignment 2 (Literature Review) (Form F3) – Due date (23/6/2025)
  • 10% Assignment 3 (Methodology) (Form F4) 

 Presentation 25% (Lecturer, supervisor & Examiner) – 12/7/2025

  • Project Formulation Presentation Form (F7) (**progress) – Lecturer (10%)
  • Project Formulation Presentation Form (F7) (**final) – Supervisor (10%) & Examiner (5%)

Written report 45% (Supervisor & Examiner)Due date (6/7/2025)

  • Project Formulation Evaluation Form (F8) – Supervisor (30%) & Examiner (15%)

List all forms:

Course syllabus & Schema of work (CSP 600)

In this course the student will be exposed to the different types of research project and learn to propose a complete research project. The students will be guided to produce a proposal of an intended project. The guidance will include theoretical research and it can culminate in model program intended for testing out the theoretical findings.

At the end of the course, students should be able to:

  • Explain the gaps obtained from literatures in the area of computing sciences.
  • Propose appropriate solution to computing sciences problem. 
  • Present the propose solution to computing sciences problem.

Course Syllabus

TopicRemarks
WEEK 1 
(24/10 –28/10)

Overview of CSP600
• Project Formulation 
• Introduction to Ethics 



Lecture 1
Introduction to the course

Lab 1: 
Identify supervisor
Choose a topic & supervisor
(31/3 – 4/4)Special Festive Holiday (Raya Aidilfitri)
WEEK 2 
(7/4 – 11/4)


Choose a Project 
• Area of Interest 
• Identify Stakeholder 
• Sample CS projects 

Start Entrance Survey (7 Oct – 3 Nov 2024)

Lecture 2
Choose a Project
Project formulation


Lab 2: 
Discussion of topic and project


WEEK 3
(14/4 – 18/4)


Project Description 
• Research Questions Formulation 
• Problem Statement, Objective(s), Scope and Significance Identification 

End Entrance Survey (7 Oct – 3 Nov 2024)
Submit Mutual Acceptance Form(F1)

Lecture 3
Overview about Chapter 1

Lab 3: 
Discussion of project motivation

WEEK 4
(21/4 – 25/4)


Proposal Outline Presentation 
• Individual Presentation 



Lecture 4
APA style Edition

Lab 4: 
Individual presentation of Chapter 1 
WEEK 5
(28/4 – 2/5)


Proposal Outline Presentation
 • Individual Presentation 



Lecture 5
Overview about Chapter 2
Literature review 1
Literature review 2


Lab 5: 
Individual presentation of Chapter 1 (continue)
WEEK 6
(5/5 – 9/5)


Proposal Outline Presentation 
• Individual Presentation 

Submit Project Motivation (F2) and Chapter 1 – Due (5/5/2024)

Lecture 6
Literature review 3

Lab 6: 
Individual presentation of Chapter 1 (continue)
WEEK 7
(12/5 – 16/5)


Literature review 
• Format of report submission 
• Referencing tools (Mendeley) 
• Citations and References 
• Plagiarism 
• Ouriginal 








Lecture 7
Plagiarism

Lab 7: 
WEEK 8
(19/5 – 23/5)



Literature review 

• Project framework 
• Similar work/ comparison of techniques 







 
Lecture 8
Overview about Chapter 3
Watch Lecture Session

Lab 8: 

WEEK 9
(26/5 – 30/5)


 
Methodology 

• Software development methodology 
• Techniques/Algorithm development 






Lecture 9
Methodology



Lab 9: 
(2/6 – 6/6)Semester Break
WEEK 10
(9/6 – 13/6)







Methodology (cont.) 

• Project Design (System architecture, use-case diagram, ER-diagram, storyboard, process flowchart) 







Lecture 10


Lab 10: 





WEEK 11
(16/6 – 20/6)


 




Progress presentation
• Individual Presentation







Start Student Feedback Online (SuFO) (10 Jun – 14 July 2024)



Lecture 11


Lab 11: 

WEEK 12
(23/6 -27/6)


Progress presentation
• Individual Presentation
Submit Project Chapter 2 (Literature Review) and Form F3 – Due (23/6/2025)

Start Exit Survey (24 Jun -7 July 2024)

Lecture 12


Lab 12: 

WEEK 13
(30/6- 4/7)



Progress presentation
• Individual Presentation



Lecture 13


Lab 13: 

WEEK 14
(7/7 – 11/7)


Final Proposal Presentation
• Proposal Report + Plagiarism Report Report Submission + Ethics Forms 
Submit Final Proposal – Due (6/7/2025)

Start Student Feedback Online (SuFO)
Start Exit Survey


Final presentation 12/7/2025
(14/7 – 18/7)
Study week
(21/7 – 10/8)
End Student Feedback Online (SuFO)
End Exit Survey
Final Examination Week
(11/8 – 28/9)Semester Break

SESI MAC 2024- SEPT 2024

Aim and Objectives

The aim of this Final Year Project is to clearly define the primary goal of the research by stating it in a concise, single sentence that captures the core purpose of the entire project. This aim serves as the foundation for all activities, development, and analysis carried out during the research, guiding the direction and focus toward solving a specific problem or achieving a particular innovation. By articulating a clear and focused aim, the project ensures alignment with its objectives and helps communicate its significance and intended outcomes to supervisors, examiners, and stakeholders.

To fulfill the aim of this Final Year Project, three key objectives have been established. The first objective is to conduct a comprehensive analysis of the problem domain and gather relevant user or system requirements to ensure the solution is aligned with actual needs. The second objective is to design and develop a working system or application that incorporates essential features, functionality, and user-friendly interfaces based on the gathered requirements. The third objective is to evaluate and test the developed solution through user feedback and performance assessments to validate its effectiveness, reliability, and potential for real-world application.

Objectives should contain 3 objectives.

  • 1) To study/examine/explore/find certain algorithm to solve the problem.
  • 2) To develop/construct/model/ app/system/game using the algorithm.
  • 3) To evaluate/test the functionality of the app/system

The objectives must tally with the problem statement and mention in details the implementation in the methodology.


This project aims to develop an interactive mobile game to hone English spelling skills among preschool students. The objectives of this proposal are:  

  1. To study the approach of interactive learning method by game-based learning.
  2. To develop an interactive spelling game for mobile.
  3. To test the functionality and usability of interactive spelling games.

This project aims to develop EV charging application in mobile platform. The objectives of this project are:  

  1. To study a suitable algorithm to find the nearest EV charging station.
  2. To develop the EV Charging Station Locator using Haversine Distance algorithm for distance calculation.
  3. To test the functionality of the EV Charger Station Locator mobile application.

This project aims to develop facial expression recognition for drowsiness detection in mobile platform. The main objectives of this project are: 

  1. To study the suitable facial expression recognition algorithm for mobile application.
  2. To design and develop driving alert system based on facial expression recognition.
  3. To test the functionality of facial expression recognition on mobile application.

This project aims to develop a mobile application personalized stylist recommender system using AI specifically for the fashion domain to provide tailored outfit suggestions and improve wardrobe utilisation. Thus, the objectives include: 

  1. To identify a suitable AI-driven recommendation approach in personalized fashion recommendations and wardrobe management. 
  2. To construct a mobile application personalized stylist recommender system for generating outfit suggestions and managing wardrobes based on the identified approach. 
  3. To evaluate the performance of the recommender system using relevant evaluation metrics. 

This project aims to develop an Interactive Tajwid Memorization Mind Map Game specifically for primary school students preparing for PSRA exams, students with general memorization difficulties and ADHD to enhance their memorization and retention skills in the Tajwid subject. Thus, the objectives include to:  

  1. To identify suitable approach to enhance memorization in Tajwid subject. 
  2. To develop a web-based interactive Tajwid mind map memorization game. 
  3. To evaluate the game’s effectiveness in improving Tajwid memorization of students. 

 GAMIFIED LEARNING FOR FOUNDATIONAL LITERACY AND NUMERACY: A GAME FOR MALAYSIAN CHILDREN AGED 7 

This project is focusing on developing a game specifically for foundational literacy and numeracy to provide an engaging, interactive platform that nourishes reading, writing, and counting skills in a structured and enjoyable way for young learners. Thus, the objectives include to: 

  1. To identify the elements of game-based learning in enhancing foundational literacy and numeracy skills.  
  2. To develop game-based learning by using K-Nearest Network (KNN) to enhance foundational literacy and numeracy skills  
  3. To test the functionality and usability of game-based learning by using K- Nearest Network.  

 WEB-BASED MERCHANDISE SYSTEM USING INTERACTIVE MULTIMEDIA 

In order to overcome the problem in e-commerce web-based platforms, this project aims to develop a web system specifically for web-based merchandise by using interactive multimedia methods. Thus, the objectives include to:  

  1. To identify suitable 3D features in e-commerce system.  
  2. To develop merchandise web-based using 3D features.   
  3. To evaluate the functionality of the system.  

WEB-BASED MERCHANDISE SYSTEM USING INTERACTIVE MULTIMEDIA 

The project aims to create a corrosion classification system designed specifically for the oil and gas sector that uses image processing and Transfer Learning to automatically recognise and evaluate corrosion from images of equipment surfaces. Therefore, the objectives include the following:  

  1. To identify machine learning algorithms for classifying early corrosion in land-based image data.   
  2. To develop CorroSense that can analyze image data by Transfer Learning.    
  3. To evaluate CorroSense using performance metrics across diverse environmental conditions and image qualities. 

Title for FYP

  • Working title that clearly reflects the project.
  • Select a title that is appealing.
  • It should capture the attention of the readers and want them to read your work.
  • It must be consistent with what you do in the paper. Some titles are misleading.
  • Create clear, short, catchy titles are often better cited.
  • Avoid very long titles.
  • Make it look like a project/product/prototype not a research title.
  • Mention technique/method used in the project.

Example of titles:

Application
  • Uitm Bus ETA Mobile Application using Predictive Analysis 
  • Intelligent Mobile Speech To Speech Translation 
  • Smartphone Ranking using Sentiment Analysis 
  • Travel with Pet Mobile Application using Web Scrapping Dom Parsing
  • Development of Mobile Application with Malay Hadith Search Engine 
  • Mobile Application with Malay Traditional Pantun Search By Text Image 
  • Mobile Nutrition Tracker using Total Daily Energy Expenditure Multi Point Tracking System – Childcare Tracking System
  • Mobile Apps – Emergency Guidance Development of Digital Storytelling Based on Guided-Narration using Voice Controlled
  • Mobile Application Interactive Storytelling: History of Melaka 
  • Yalla Hajj: Hajj Guidance with Muslim Pilgrims’ Mobile App using Storytelling Approach
  • Development of Mobile Application with Hajj and Umrah 
  • Mobile Messaging Application using Aes Algorithm Encryption 
  • Parametric EFWITH Estimation Model with Mobile Apps 
  • Android Voting System with Mpp Election using Facial Recognition Authentication Process 
  • Sensor Based Drowsiness Detection Application 
  • Mobile Apps with Insuline Control with Gestational Mellitus Diabetes (GDM) Patients 
  • Vaccine Passport Mobile Application 
  • Student Internship Application 
  • Online-Onsite Mobile Apps with Makeshift Food Seller 
  • Uitm Sport Facilities Booking App 
  • QR Code Application with Coupon College 
  • Encrypted Messaging Application using 3D-AES Algorithm 
  • Waste Sorting System using Deep Learning with Recyclable Material (Mobile Apps)
  • Ride-Hailing App on and Off Campus (Mobile Apps)
  • Social Story Telling with Autism Learning (Mobile App)
  • Social Story Telling with Autism Learning (Mobile App)
  • Supermarket Checkout Apps with Budget Tracker and Recommendation System
  • Himpunan Kisah Nabi Apps 
  • Mobile Application with Disable-Friendly Smart Parking System
  • Melanoscan: Skin Cancer Detection in Mobile Application
  • Mobile-Based Make Up Beauty Recommender with Malaysian Skin Tone
  • E-Waste Smartbin Disposal App
  • Mobile Application Shift Scheduling using Optimization and Visualization 
  • Education App with Learning History of Melaka with Maps
  • Augmented Reality Science Learning Cards Mobile App
  • Interactive Folklore Storytelling App with Voice Recognition 
  • Kid’s Perwithmance Tracker using Mobile App
  • Augmented Reality To Learn Introduction To Interactive Multimedia (Mobile Apps) 
  • Mandarin Speaking Assist with Introvert: A Mobile App
  • Wayz-To-Clazz: Indoor Nagivation Mobile App To Find Ways To Class in KPPIM
  • Real-Time Group Tracking Application
  • Virtual Shoe Closet: A Camera-Based Sneakers Shopping App
  • AI-Powered Skin Health Care App with Face Scanning with Women

System

  • Credit Transfer System (Web-Based) 
  • Budget Management System (Web-Based) 
  • Analysis on Different Method of Visualization on Most Liveable Capital City 
  • Cleaning Services Outsourcing using Web Scrapping 
  • Auto Keyword Extraction with Text Summarization in Single Document Malay News Article 
  • Retrieval of Sentences From Al-Quran 
  • Japanese-Malay Language Translator 
  • Sentence Selection Algorithm with Automatic Malay Text Summarization 
  • E-Faraid System 
  • Depressive Mood Analysis System Among Youth on Twitter in Malaysia 
  • A Quick Response(QR) Based System with Student Attendance 
  • RIG Membership System using MVC-Based Framework 
  • Context-Aware Self-Manage Attendance System 
  • Abnormality Detection on Solar Monitoring System using Data Visualization 
  • 2D Simulation of Controlling Traffic Light Sequence
  • Fitness and Bodybuilding Coach with Youngster using Rule-Based Technique 
  • Attendance Monitoring and Reporting Application using Crowdsourcing Technique 
  • Timetable Generator with Level 2 Primary Schnool Students using Constructive Approach 
  • Content-Based Document Search 
  • Employee Worktime Tracking using Geofencing 
  • Location Based Application with Tawaf Assistance using Geofencing 
  • Exploring Trends in Digital Addiction using Data Visualization 
  • Faulty Detection with Underground Tank using Data Visualization 
  • Household Income Visualization using Multidimensional Techniques
  • Data Visualization with Uitm Enterprise Risk Management System
  • Smart Robot with Covid-19 Patient
  • Real Time Interactive Finder with Uitm Shah Alam
  • Interactive Learning Content with Data Visualization on MOOC
  • Dashborad of Autism Learning Progress with Autism Children
  • Determine The Ripeness of Fruit using Image Processing
  • Applying Depression Anxiety Stress Scales (Dsass) Tool in Digital Storytelling
  • Attention Retention Approach in MOOC Learning Environment
  • Melanoma Skin Cancer Detection System
  • User Experience Measurement using Uitm Enterprise Risk Management
  • E-Learning Content with Basic Programming using Permissive Approach
  • Speech Therapy with Autism Children
  • Video Content Managemnt with Educational Purposes
  • Intelligent Way Finder with Hospital Uitm
  • Learning Daily Du’as Platwithm with Children
  • Voice Translator of Basic Spoken Words To Sign Language Symbol 
  • Belum Temenggor Fauna Visualization using Multidimensional Techniques
  • E-Muslim Traveller: Locating Place with Jama’ and Qasar Prayer using Haversine Method
  • Belum Temenggor Flora Content-Based Image Retrieval
  • Covid-19 : Indoor Premise Control Movement using Qr Code
  • Learning Daily Du’as Platwithm with Children
  • Taranum Training using Freeman Code Contour Matching
  • Data Visualization with Uitm Enterprise Risk Management System
  • Drag and Drop Graphic-Based Function in Creating Storytelling 
  • Automatic Short Answer Marking using Inwithmation Extraction
  • Park+Alert: Revolutionizing Parking Violation Assistance At Uitm Shah Alam
  • Web Design with Academic Advisors and Students
  • Uitm Bus Live Tracking with Visualization using GPS

Game and VR/AR

  • Exposing Early Childhood on Good Character Education Via Interactive Storytelling Games
  • Interactive Location Based Gps Game in Shah Alam
  • Firefighter Training Simulation in VR
  • Immersive Experience of E-Commerce Product using Augmented Reality
  • Interactive Game To Learn Addmath with Students
  • Enhancement of Serious Game Elements in Pharmacy Learning Application
  • Gamification in MOOC
  • 2D Simulation of Controlling Traffic Light Sequence 
  • Immersive Product Experience using Augmented Reality
  • Learning Rainwithest Plant using AR
  • Interactive Digital Map with Shah Alam
  • Interactive Game To Learn Addmath Multi-Label Classification on Music Audio
  • Virtual Reality: Handballxplore 
  • Tourism Game: Walk CuLture
  • Interactive Digital Storytelling: A Cat’s Journey
  • Fitfocus, Stay Fit, Stay Healthy
  • Ar Digital Storytelling with Speech Delayed Kids 
  • Borneo Culture Musuem Via Non-Immersive 3d Walkthrough 
  • Interactive Games: Digital Escape Quest
  • Tirani: A Novel Digital Storytelling
  • Learn & Play Sign Language
  • Interactive Virtual Reality: Learn Programming
  • Botanical Knowledge: A Gamified Approach To Malaysian Flora Education
  • Wild Rescue Heroes: An Interactive Storytelling 
  • Digital Storytelling: Life As A Victim
  • Taste of Malaysia: A Culinary Educational Game
  • Borneo Cultural Virtual Museum: A Digital Storytelling
  • Augmented Reality: Educational Virtual Zoo
  • The Dusun Language Quest: Preserving Heritage Through Play
  • Fireguard VR Game in Workplace: Reducing Motion Sickness using Teleportation Method
  • The Adventure of Kinabalu Game using Flocking and Swarm  Algorithm To Non-Playable Character
  • Multiplayer Application  of Virtual Reality Flood Simulation
  • NPC Based Language Learning in Immersive Environment
  • Autiheart: Navigating Emotions Game
  • Virtual Reality of First Aid Training on Soft Tissue Injuries with First Responders
  • Educational Game: Fun Run with Math Year One
  • Interactive Game of Folklore Stories: Legend of Mahsuri
  • AR Visualization of Chemical Reactions on The Periodic Table
  • Immersive Game-Based Learning with Programming Language Through Visualization
  • “Whispers of The Past: Our Cultural Narrative” Interactive Storytelling on Sabah Intangible Cultural
  • Heritage
  • Campus Indoor Navigation using Augmented Reality
  • An Educational Game with High School Physics
  • Flameguard: Interactive Game with Fire Emergency Preparedness
  • Exploring Malaysian History Through Immersive Game-Based Learning
  • Diary Atok: Exploring Malay Cuisine Through Interactive Games
  • Barista Bliss: A Platinum Café Game Simulation
  • Gamification: Digital Audio Workstation 
  • Aroma: Local Cuisine Exploration 
  • Katakana Quest Game
  • JPJ Simulation Test Driving Game
  • Rhythm Game: Rhythmic Fusion

Artificial intelligence

  • Ideal Weight Prediction From Wearable Data using Genetic Algorithm 
  • Cgpa Predictor using Data Mining Decision Tree Prediction Technique 
  • Best Flight Path Prediction using Djikstra and Regression 
  • Scammer Detector with Online Advertisement By using Principle Component Analysis (PCA) 
  • Halal Detection System By using Pattern Recognition 
  • Local Fruit Tree Leaf Disease Detection using Pattern Recognition 
  • Learning Disabilities Recognition System using Neurophysiological Computational Approach 
  • Driver Behaviour Through Speech Emotion Recognition System 
  • Human Fall Activity Recognition using Convulational Neural Network 
  • Malaysian Children and Teenagers Anthropometic Sizing System By using Clustering Technique
  • Speech Features Analysis By using Visualization Techniques 
  • Foodai: Calorie Counter with Malaysian Food Based on Deep Learning Object Detection 
  • Stories Summarization in Al-Quran using Neural Network 
  • Waste Materials Classification using Image Processing and AI 
  • Web-Based Search By Image using CNN 
  • Halal Hair Care Product Recommender System using Web Scrapping 
  • Recommender System with Travel Places in Malaysia 
  • Online Book Recommender System By using Collaborative Filtering 
  • Cooking Recipes Rating Based on Sentiment Analysis 
  • Semantic Analysis on Product Review using X Algorithm 
  • Fake News Detection on Social Media using Sentiment Analysis 
  • Detection of Racism in Malaysia using Sentiment Analysis 
  • Online Shoes Recommender System with Potential Buyer using Apriori Algorithm 
  • Jobs Failure Classification using Cloud Datasets 
  • Resource Utilization Prediction in Cloud Data Centers 
  • Tarannum Tone Recognition
  • Mood Prediction Based on Menstrual Cycle 
  • Plant Identification using Image and Machine Learning
  • Local Skincare Recommender System using Web Scrapping 
  • A Prototype with Detection of Autistic Children Based on Analysis of Handwriting Image 
  • Voice Translator of Basic Spoken Words To Sign Language Symbol
  • Prediction of Football Matches Based on Players’ Statistics 
  • Factor Scoring and K-Means Algorithm To Predict Student Counselling
  • Emotion Recognition using Speech with Children with Learning Disability 
  • Food Recommender using Collaborative Filtering and Geofence Method
  • Text Recognition System
  • Autism E-Marketplace: Intelligent Chatbot
  • Detection and Classification of Tuberculosis (Tb) Based on Chest X-Ray Images using Deep Learning
  • Multilingual Sentiment Analyzer using Corpus-Based Approach
  • Digital Road Sign Detection with JPJ Test By using OpenCV
  • Improving Secondary Student Pronunciation Skills Through Gamified Questions and Speech Recognition
  • Image Recognition with Malaysian Kueh
  • Optimizing Silat Gayong Moves: Posture Detection and Correction
  • Song Recognition System: Tunetide
  • Chronic Kidney Disease Prediction Tool
  • Autistic Kids Emotion Recognition
  • Jawi To Bahasa Melayu : Image Recognition 
  • Malaysian Sign Language Finger Spelling
  • Intelligent Conversation Virtual Pet with Mental Health using Natural Language Processing
  • Automated Voice Recognition Tajwid Checking System
  • Japanese Mastery:  Japanese Characters with Beginners with Handwriting Recognition
  • Tasbeehtally: Your Dhikr Companion using Speech Recognition
  • Facial Emotion Detection with Autistic Children using CNN
  • Mango Leaf Disease Recognition using CNN
  • Optical Mark Recognition with MCQ Grading
  • Dermatology Skin Image Analysis with Uitm Students using CNN
  • Automated Generation of Ingredient Inwithmation From Malay Food Images
  • Twisted Fairy Tales using AI
  • AI Spelling Tutor System with Children

Other

CSP750:

Output: 3 chapters – (Chapter 1- Chapter 3), Format – UiTM Thesis (download dari website IPSIS)

Bilangan references: Sekurang-kurangnya 30

Kuantiti patah perkataan = Kurang daripada 15,000 patah perkataan.

Pemeriksa: Pengajar dan Penyelia

CSC734:

Output: 6 pages Camera-ready conferences paper

Pemeriksa: Penyelia dan Pemeriksa

CSP760:

Output: 5 chapters – (Chapter 1- Chapter 5), Format – UiTM Thesis (download dari website IPSIS)

Bilangan references: Sekurang-kurangnya 50

Kuantiti patah perkataan = MIN = 15,000 patah perkataan, MAX = 20,000 patah perkataan

Pemeriksa: Penyelia dan Pemeriksa

Watch out this words:

  • Non-quantitativeE.g. low/high, Extremely, Enormous, Rapidly, Dramatic, Massive, Considerably, Exceedingly, Major, Minor.
  • Very,quite,slightly, etc. Quantitative description is always preferred
  • Avoid “of course”, “clearly” and “obviously
  • Avoid unnecessary words. For instance, change:
    • in order to” to “to”; 
    • whether or not” to “whether”; 
    • is equal to” to “equals
  • Normally, do not use I; Avoid starting a paragraph with I; 
  • Do not use the royal “we” on a sole-authored paper 

Data:

  • Explain what type of data used and list data sources
  • State the frequency of the data and the sample period/sample size
  • Discuss any modifications to the raw data 
  • If data involves a comprehensive list, it is a good idea to make a table showing each series, how they are constructed, data sources, etc. Alternatively, can use a data appendix.
  • Provide descriptive statistics