FIYPROC SESSION 1 2026/2027 BOOKLET

BOOKLET ABSTRACTEXAMGUARDSMARTANTI-CHEATINGMONITORINGSYSTEM NURFALISHA BINTI ROSMAN, NUR FARAH NAJWA BINTI ROSLI, NOR FARAH HANIM BINTI ZAHARIN SUPERVISOR: SHARDILLA BINTI MOHAMAD SARIFArtificial Intelligence (AI), AI Content Detection System, Agile Software Development Methodology, Similarity Checking, Groq API, OpenAI GPT Model P O L I T E K N I K B A L I K P U L A U D E P A R T M E N T O F I N F O R M A T I O N A N D C O M M U N I C A T I O N T E C H N O L O G Y ABSTRACT NURFALISHA BINTI ROSMAN, NUR FARAH NAJWA BINTI ROSLI, NOR FARAH HANIM BINTI ZAHARIN SUPERVISOR: SHARDILLA BINTI MOHAMAD SARIF NETWORK - FYP1 KEYWORDS Academic integrity during final examinations is increasingly challenged by students accessing external assistance through mobile phones, particularly when they leave the hall for the restroom, an area outside direct supervision. At Politeknik Balik Pulau, examination monitoring currently relies mainly on manual observation, with no mechanism to alert supervisors when a student's phone leaves the controlled network. This study addresses that gap through the ExamGuard Smart Anti-Cheating Monitoring System, developed using the Rapid Application Development (RAD) model. Before entering the hall, each student scans a QR code, connects to a dedicated examination Wi-Fi access point, and registers their name, matric number and class through a web form; the phone is then placed in the storage box following existing Examination Unit procedure. The system continuously monitors each registered phone's connection status, and if a phone disconnects, for example by switching to cellular data or another network, a warning is raised on a web-based dashboard while an ESP32-driven buzzer and LED alert supervisors. All login and disconnection events are logged in a MySQL database for post-examination review. The prototype is expected to give supervisors real-time visibility of student phone activity, strengthening fairness and credibility of the examination process at Politeknik Balik Pulau. Wi-Fi Connection Monitoring, QR Code Registration, ESP32 Microcontroller, IoT Monitoring System, Examination Integrity EXAMGUARDSMARTANTI-CHEATING MONITORINGSYSTEMSMARTRESTROOMMONITORINGSYSTEM MUHAMMAD SYAFIQUE BIN AZRIL HISYAM, NURUL JANNAH BINTI MOHD ZAINOL, AUFFZALINA BINTI OTHMAN SUPERVISOR: NORHAFIZAH BINTI ABDUL RAHMANArtificial Intelligence (AI), AI Content Detection System, Agile Software Development Methodology, Similarity Checking, Groq API, OpenAI GPT Model SMARTRESTROOMMONITORINGSYSTEM ABSTRACT MUHAMMAD SYAFIQUE BIN AZRIL HISYAM, NURUL JANNAH BINTI MOHD ZAINOL, AUFFZALINA BINTI OTHMAN SUPERVISOR: NORHAFIZAH BINTI ABDUL RAHMAN P O L I T E K N I K B A L I K P U L A U D E P A R T M E N T O F I N F O R M A T I O N A N D C O M M U N I C A T I O N T E C H N O L O G Y NETWORK - FYP2 KEYWORDS This study examines the automated monitoring of restroom facilities, an emerging solution in facility management utilizing Internet of Things (IoT) technology. The primary issue addressed is the dependency on routine manual inspections, which are time-consuming and lack realtime status updates for waste bins and soap dispensers. This problem is critical because delayed maintenance directly affects facility hygiene and user satisfaction. This study aims to develop a smart restroom monitoring system to reduce maintenance time and cost while delivering real-time alert notifications to supervisors. The development of this innovation utilizes an Agile methodology approach to analyze operational efficiency. The innovation was developed by integrating an ESP32 microcontroller with HC-SR04 ultrasonic sensors and IR sensors connected to a web dashboard. System performance was evaluated through field testing to verify sensor detection accuracy. Results demonstrate that the system successfully detects facility status accurately and delivers automated alerts. The implications of this innovation are significant for cleaning staff and facility managers by optimizing workforce deployment. Recommendations for future development include expanding monitoring capabilities to cover water usage and tissue paper availability. Internet of Things (IoT), Smart Restroom, Real-Time MonitoringSAFESTRIDE:VISIONASSISTANCE NG HUEY JIE, NURSYAZZIANA BINTI MAZARI, MUHAMMAD NOOR KAMARUL DANIEL BIN NOOR ZAMRI SUPERVISOR: NUR SYAZWANI BINTI MELIArtificial Intelligence (AI), AI Content Detection System, Agile Software Development Methodology, Similarity Checking, Groq API, OpenAI GPT Model SAFESTRIDE:VISIONASSISTANCE ABSTRACT NG HUEY JIE, NURSYAZZIANA BINTI MAZARI, MUHAMMAD NOOR KAMARUL DANIEL BIN NOOR ZAMRI SUPERVISOR: NUR SYAZWANI BINTI MELI P O L I T E K N I K B A L I K P U L A U D E P A R T M E N T O F I N F O R M A T I O N A N D C O M M U N I C A T I O N T E C H N O L O G Y NETWORK - FYP3 KEYWORDS The SafeStride: Vision Assistance project introduces a smart walking stick designed to improve the safety, mobility and independence of visually impaired individuals. This project focuses on common difficulties faced by visually impaired users, such as detecting obstacles, the risk of falling and delays in receiving emergency assistance. The project aims to develop an affordable and practical assistive device that can provide obstacle detection, fall detection, location monitoring and emergency alerts. The innovation is developed using an ESP32 microcontroller integrated with an HC-SR04 ultrasonic sensor, MPU6050 sensor, GPS module, vibration motor, buzzer and SOS button. A mobile application is also developed to support location monitoring and emergency communication with caregivers or family members. The development process involves hardware integration, programming, sensor testing and mobile application development. The results show that the system can detect obstacles and provide immediate alerts through vibration and buzzer feedback. It also supports fall detection and emergency communication. SafeStride can help improve walking safety and provide greater confidence for visually impaired users while giving families better awareness of their safety. SafeStride, Smart Walking Stick, ESP32, Obstacle Detection, Fall Detection, GPS, SOS AlertSYSTEMSTUDENTTEACHERALERTCALL(STAC) ZULFAHMI HAKIM BIN ZULKIFLI, SHAFIQ ADAMIE BIN SHARULAFIZAN, NUR HILMAN BIN ZAKIR FAUZI SUPERVISOR: MOHD FIRDAUS BIN AWANGArtificial Intelligence (AI), AI Content Detection System, Agile Software Development Methodology, Similarity Checking, Groq API, OpenAI GPT Model SYSTEMSTUDENTTEACHERALERTCALL (STAC) ABSTRACT ZULFAHMI HAKIM BIN ZULKIFLI, SHAFIQ ADAMIE BIN SHARULAFIZAN, NUR HILMAN BIN ZAKIR FAUZI SUPERVISOR: MOHD FIRDAUS BIN AWANG P O L I T E K N I K B A L I K P U L A U D E P A R T M E N T O F I N F O R M A T I O N A N D C O M M U N I C A T I O N T E C H N O L O G Y NETWORK - FYP4 KEYWORDS Student Teacher Alert Call (STAC) is an innovation developed to improve the teacher calling process in schools, which has become an important communication issue in the education environment. The main problem identified is the difficulty faced by students in contacting teachers when teachers are not available near the staff room. This issue is important because an efficient communication system can reduce delays and improve interaction between students and teachers. This innovation was developed using a prototype development approach by integrating an ESP32 microcontroller with a keypad, LCD display, buzzer and Telegram notification system. The development process involved designing, assembling and testing the system functionality to ensure that teacher identification input could be processed and alerts could be delivered successfully. The prototype was analysed through functional testing of the input, processing and notification processes. The results show that STAC is able to provide simultaneous visual, audio and wireless notifications to the selected teacher through the LCD, buzzer and Telegram message. The implication of this innovation is beneficial to school management, teachers and students by providing a more systematic teacher calling method. Future improvements may include additional features to enhance system performance while maintaining its function as a calling and notification system. STAC, ESP32, teacher alert system, Telegram notification, school communicationJTMKGO: UNIVERSALBLE-BASEDINDOORNAVIGATIONFORCOMPLEXLAYOUTS NUR ANIS NATASHA BINTI RAMSESS, SITI BALQIS BINTI ADAM MALIK, MUHAMMAD ANIQ HAFIZI BIN MOHD SABRI SUPERVISOR: AIDA ZURAINA BINTI MIR AHMAD TALAAT