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Industry-based Software Engineering Projects

12-Week Group Software Engineering Projects

Engage with students and potential summer interns by proposing a software engineering project for student teams.

sweng_showcase

Every year companies are invited to propose a software engineering project (or projects) for which student teams will develop software solutions. Projects run in students' second Semester for 12 weeks, from January to April. The groups are made up of students from both second and third year of the Integrated Computer Science course. Each group will invest 400 - 560 hours of project work, with the final working piece of software delivered to the client in April.

Company clients are required to:

  • Propose a project: i.e. provide a title outline (examples below)
  • Be available for meetings with students either by video conference or at your office for the 12 weeks.

Students will be based at college for the duration of the projects. Companies should aim to meet with their student group once a week for a weekly check in and to troubleshoot any issues that students might have. The School will manage all the group supervision as part of the course.

In the past we have had: mobile phone based projects (Android & iOS), graphics projects, game engines, tools to clean images from archives, tools for configuring nodes in ad-hoc networks, web-based collaboration tools, etc. There needs to be a significant software development aspect to the projects as the students must program.

For more information or if your company would like to propose a project, please contact Hester Jackman: hester.jackman@tcd.ie

Student Project Demonstrations 2022

Student projects with IBM

Project name: Lecture Dictation & Natural Language Querying of Knowledge Corpus

Project description: There is currently a unique opportunity to digitize all the ZOOM/TEAMS recordings from last Academic Year to avoid losing all the work done and turn audio recordings into written, classified and usable persistent knowledge. Students need to do this by: 1. Transcription - Can be done using IBM Watson STT. This should be customized using domains-specific language models which can be done by the students. 2. Ingestion into an NLP-based searchable repository - Using IBM Watson Discovery with trainable queries - the whole set of transcription can be tagged, classified and searchable 3. Creation of a User Interface that would allow searching of answer passages and links to videos covering particular material - Using the Discovery API a query front-end could be built that would allow - entry of natural language queries, filtering by entities and keywords, links to source video clips.

Project name: NLP based Sentiment analysis

Project description: Sentiment analysis - We input a paragraph or sentence(s) and create a sentiment score between -1(most negative) and 1(most positive). Also, each sentence is classified as positive/negative besides the overall sentiment score. Text similarity & text summariser- We take two text bodies of any size as input and find a similarity score. We need to ensure that some words are synonyms and so this aspect needs to be taken into consideration. Text summariser will help in reducing large text body into a smaller one so that text comparison scores are more optimum. Note: In all the models, based on the use case chosen a dashboard needs to be created.

Project name: Multiple users Kanban board

Project description: Develop a Kanban board that supports multiple users in a language of your choice, then deploy it with modern CI/CD pipeline with container technology based on Red Hat.

Project name: A TODO App

Project description: Develop an A TODO app, that stores TODOs in a persistent database in a language of your choice, then deploy it with modern CI/CD pipeline with container technology based on Red Hat.

Student projects with Microsoft

Project name: HoloLens Mixed Reality Video Game

Project description: The HoloLens is a mixed-reality device which enables untethered and immersive mixed-reality experiences. A crucial benefit of mixed-reality experiences is the ability to provide multi-user collaborative experiences, which is becoming ever-more important during the current requirements regarding social distancing. We will plan to build smartphone-based AR client for this project, if restrictions allow us to access HoloLens headsets, we will use those instead. Objective The challenge for this project is to develop a multiplayer game that utilizes augmented reality technology that allows users to share the experience of playing a game together, regardless of whether they stand in the same room or across the globe. There are multiple challenges involved in this project, from designing an interactive and easy to use game client using Unity to designing a service which can handle large volumes of game sessions, process individual user commands to modify game state, and seamlessly sync the game state to multiple users.

Project name: Pneumothorax Detection Using Computer Vision

Project description: The objective of this project is to use open-source data to build a machine learning model that can detect pneumothorax from a presented x-ray.

Student project with OrangeTribes

Project name: Mobile Music app: Music discovery experience

Project description: Students were given the task of creating a music discovery platform using Dart, Flutter and Firebase.

Student project with Propylon

Project name: A Blockchain publishing system

Project description: Legislative documents undergo many changes between their initial creation and their final passage into law. Bills and resolutions can be amended, sponsored, heard in committee, replaced, reverted, and more. This project involves creating a web-based tool for visualizing how individual pieces of legislation evolve over time, along with some larger visualizations about how the broader legislative landscape is changing. The project is a mix of data processing, analysis, and web-based visualization.

Student project with Millennium

Project name: Web-based Dashboard App for monitoring & alerting of automation jobs anomalies

Project description: Project Description: Develop a web-based application using the framework/language of choice with the following characteristics: 1. Historical metrics of the execution times of each job - a type of job can be uniquely identified by "topic" and "group" (team responsible for the job) 2. Graphical representations of those metrics with different ways to slice and dice the data - by day, year, month, groups, topics, etc. 3. Alert sinks supported should be : 1. REST - With out of the box integration for Slack, OpsGenie and ServiceNow's incident module 2. Email 4. The alerts to each sink should be configurable based on the group and topic of each job - in other words, depending on the owner (group) and the topic of the job, the alerts should be sent to the respective teams

Student project with Genesys

Project name: Import function for 3rd party Bots to native Genesys Bots

Project description: Develop an import function that will allow an admin user to target an existing 3rd party Bot – e.g. DialogFlow or Lex and then import that definition converting it to the Dialog Engine definition. Part of the import process will be to identify custom extensions on the 3rd party Bot side that would require to be reimplemented on the Dialog Engine side – e.g. the use of a Webhook.

Testimonials

Patrick Buckley
Senior Manager, Development - Genesys

I’d just like to acknowledge the fantastic work done by the students over the last few months. Starting with almost a blank sheet with regard to Bots, the team demonstrated a real thirst for learning and hard work over the course of the engagement. The communication from the students was excellent. We met on a weekly basis, agreed on goals and deliverables for the upcoming week, and the team always delivered on those commitments. The quality of the work was top class, and they have proved out some concepts that I’m sure will be useful to Genesys in the future. In my view the team went above and beyond to deliver a fully functional Bot conversion tool. Personally I’m very impressed with the calibre of undergraduates on the SWENG course, and would certainly be open to participating in this program in future.

Jonathan Epperlein
Research Scientist - IBM Research Europe

As the projects are done and handed over, we wanted to express that we’re especially pleased with the group we had this year...The group put together such a complete effort in such a short amount of time, and with relatively little intervention on our part – they grasped and executed the requirements mostly independently, and the result is something that is actually useful to us.

Brenda Mannion
Chief Operating Officer - Mersus Technologies

Wonderful opportunity to be involved in the development of the next generation of software talent through the Sweng project! What a pleasure for Mersus Technologies. The students that worked with us demonstrated responsiveness, technical competence, and openness to learning throughout the project assigned to them. Very gratifying to observe the growth in their interpersonal skills and increased technical proficiencies over the weeks. They brought a renewed vigor to the team in Mersus. Congratulations to Trinity on the exceptional students they are cultivating and look forward to taking part next year.