[FYP]: Add ideas + preferences

year4/semester1/fyp/ideas

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+- ai ISL interpreter

year4/semester1/fyp/prefs

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+Code: AC1
+Title: Analytics and visualisation of public transport in Ireland 
+Various APIs exist that provide live and forecasted data about public transport modes in Ireland (buses, 
+trains, Luas). This project will explore how this data can be captured, analysed, and presented in a 
+dashboard for analysing services, exploring trends, and developing insights. 
+Proposition: continue traintracker esque project, redo from scratch but include buses, trains, luases
+
+Code: KY4  
+Title: Data Dashboard  
+Description: This project will initially identify a required data service (e.g., citizen service, energy 
+consumption service, food sourcing service, marine service etc.) and provide an interactive dashboard 
+for public access and use of this data. The project will identify the relevant data required and develop 
+an effective data management service for accessing and querying this data, and design a dashboard 
+to visualise, interact with and explore this data.
+
+Code: MM04 
+Title: Discrete Simulation of Irish Elections 
+The Irish general election process is complex by international standards, with a single transferrable 
+vote and multi-seat constituencies with differing numbers of seats. As such, it poses an interesting 
+challenge for simulation. Some of our past research in probabilistic data mining could be adapted for 
+this application.
+
+Code: KY5  
+Title: Language Learning (or other education) App  
+Description: This project involves the planning, design, implementation and testing of a mobile (or Web-
+based) app to support language learning for a particular group (e.g., specific age cohort casual holiday 
+makers language for business needs, foreign students etc.). Initial research will identify other apps in 
+this space as well as best practice language learning pedagogy, and enable identification of the core 
+requirements. The app will then be iteratively designed (incorporating auditory elements, challenges 
+and other gamified elements etc.) and tested.
+
+Code: MS5 
+Title: Software Synthesiser 
+Synthesizers use various methods to generate electronic sounds. Among the most popular waveform 
+synthesis techniques are subtractive synthesis, additive synthesis, wavetable synthesis, frequency 
+modulation synthesis, phase distortion synthesis, physical modelling synthesis and sample-based 
+synthesis. The aim of this project is to prototype a software synth, based on the aforementioned 
+methods or any suitable combination, either as a standalone application, or integrated into dedicated 
+hardware like for example a Raspberry Pi.
+
+Code: MA1 
+Title: Secure File Sharing System Using Blockchain Technology 
+This project will create a platform where users can securely upload, share, and access files. Key 
+features include user authentication with public-private key pairs, file encryption for confidentiality, 
+blockchain integration for tamper-proof transaction logging, fine-grained access control, and 
+cryptographic hash functions for file integrity. Decentralized storage solutions like InterPlanetary File 
+System (IPFS) will ensure file availability and redundancy. 
+
+Code: MA4  
+Title: Facial Expressions Recognizer and person tracker 
+The three most usable expressions will be recognized in this system, such as whether the person is 
+smiling, sad, or shocked. Raspi Camera will be used to get live images and then the software system 
+is designed first to detect and read a person’s face. The system then computes o various facial 
+parameters of the person’s face. Upon detecting and registering these parameters, the system 
+compares these parameters with default expressions for human sadness, smile, and human 
+expressions. Based on these statistics the system concludes the person’s emotional state. And also 
+we can track the person’s identity too by their names. 
+
+Code: MA5 
+Title: Image forgery Detector using Machine learning/Hashing 
+As social networking services have grown in popularity, the volume of image data has increased. 
+Furthermore, image processing software such as Adobe Photoshop has made it possible to edit 
+images. Inciting violence and spreading false information can be accomplished with doctored images. 
+This image forgery detection project allows students to detect even the slightest signs of forgery in an 
+image. Two methods can be deployed in this project. (1) image classification through machine learning 
+algorithms, and (2) hashing technique can be implemented to check that either image is forged or not.
+
+Code: MA10 
+Title: Passcode generator and strength checker tool  
+In cybersecurity, strong passcode generation is key to surpassing guessing attacks on your accounts. 
+Passcode strength is one of the essential elements. This passcode must include alphabets, digits, and 
+different symbols. In this project, students will generate passcodes using different images, too. You 
+would also create a tool to check its strength, informing you if it is secure to utilize.  
+