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