This is a mentored project by IBM, where you can join weekly group calls to brainstorm, ask questions, get ideas, get suggestions, and (to some extent) get technical support / guidance for the IBM technologies used!

 

Objective: 
Replay OBD-II-like data and generate real-time F1-style commentary using IBM Granite. 
  
Dataset: 
KIT OBD-II Dataset 
  
IBM Granite Use: 
Generate commentary like “Driver hits 6,500 RPM—late braking into turn 3!” 
  
MoSCoW Requirements: 
  
Must: 
Build a time-series playback engine 
Feed data into Granite for commentary 
  
Should: 
Display synchronized graphs (RPM, speed, throttle) 
Allow speed control (1x, 2x, pause) 
  
Could: 
Add audio narration 
Simulate multiple drivers 
  
Won’t: 
Use real F1 telemetry (due to licensing) 
  
Datasets for ODB-II data  
  
1. KIT Automotive OBD-II Dataset  
  
Source: Karlsruhe Institute of Technology (KIT)  
  
Link: KIT Dataset on RADAR  
  
Details:  
  
CSV format  
  
Includes: engine RPM, coolant temperature, throttle position, intake air temperature, vehicle speed, MAF, and more  
  
Logged using KIWI 3 dongle + OBD Auto Doctor app  
  
Covers various driving conditions (e.g., traffic, highway)  
  
   
  
📁 2. Vdataset Automotive OBD-II Dataset  
  
Source: Karlsruhe Institute of Technology (duplicate of KIT dataset, alternate host)  
  
Link: Vdataset Entry  
  
License: CC BY 4.0  
  
Details: Same dataset as above, but hosted on a different platform for broader access.  
  
   
  
🧠 3. Kaggle – Search for OBD-II or Vehicle Telemetry  
  
Source: Kaggle Datasets  
  
Search Terms: “OBD-II”, “vehicle telemetry”, “car diagnostics”  
  
Examples:  
  
“Car Sensor Data” (includes RPM, speed, throttle)  
  
“Vehicle Sensor Data for Predictive Maintenance”  
  
“Driving Behavior Dataset”  
  
  
  
Required Learning - https://ibm.biz/SBAICourses   - Open, Start and Review the IBM Granite related badges  

 

• the point of contact about this project is available to answer questions and confirm whether it is available for you to take on still
• you still need to approach potential supervisors, who feel able to guide you through this project
• you also need to make this project your own, and determine some details as it is defined at a higher level, which would all go into your project proposal

This is a mentored project by IBM, where you can join weekly group calls to brainstorm, ask questions, get ideas, get suggestions, and (to some extent) get technical support / guidance for the IBM technologies used!

 

Objective: 
Build an AI-powered system that analyzes OBD-II data to predict potential engine or component failures and explains them in natural language. 
  
Datasets for ODB-II data 
1. KIT Automotive OBD-II Dataset 
Source: Karlsruhe Institute of Technology (KIT) 
Link: KIT Dataset on RADAR 
Details: 
CSV format 
Includes: engine RPM, coolant temperature, throttle position, intake air temperature, vehicle speed, MAF, and more 
Logged using KIWI 3 dongle + OBD Auto Doctor app 
Covers various driving conditions (e.g., traffic, highway) 
  
📁 2. Vdataset Automotive OBD-II Dataset 
Source: Karlsruhe Institute of Technology (duplicate of KIT dataset, alternate host) 
Link: Vdataset Entry 
License: CC BY 4.0 
Details: Same dataset as above, but hosted on a different platform for broader access. 
  
🧠 3. Kaggle – Search for OBD-II or Vehicle Telemetry 
Source: Kaggle Datasets 
Search Terms: “OBD-II”, “vehicle telemetry”, “car diagnostics” 
Examples: 
“Car Sensor Data” (includes RPM, speed, throttle) 
“Vehicle Sensor Data for Predictive Maintenance” 
“Driving Behavior Dataset” 
  
  
IBM Granite Use: 
Use Granite to generate human-readable diagnostics and maintenance suggestions based on sensor trends. 
  
MoSCoW Requirements: 
  
Must: 
Load and parse OBD-II time-series data 
Detect anomalies in engine temperature, RPM, and throttle 
Use IBM Granite to generate maintenance alerts 
  
Should: 
Visualize sensor trends over time 
Include a dashboard for viewing alerts 
  
Could: 
Integrate with a chatbot for Q&A 
  
Won’t: 
Connect to live vehicle data in real time 
  
Required Learning - https://ibm.biz/SBAICourses   - Open, Start and Review the IBM Granite related badges 

 

A few important notes:

This project is open for multiple students, though you need to work independently (cannot collaborate on literature review, methodology, development, etc).

 

Project description

Skills Build is IBM’s premier  skills and career offering for students.

 It can however be complex to navigate and students can lose their way.

Can we create an RPG game world (that utilises AI)  where Skills Build resources are linked in the game, and players are encouraged to quest for in game items, that are linked to successfully answering Q&A on topics taken from specific IBM badges
 The four ‘Getting Started with…’ series of IBM badges

From here: https://skillsbuild.org/college-students 

 

A few important notes:

This project is open for multiple students, though you need to work independently (cannot collaborate on literature review, methodology, development, etc).

This is a mentored project by IBM, where you can join weekly group calls to brainstorm, ask questions, get ideas, get suggestions, and (to some extent) get technical support / guidance for the IBM technologies used!

 

Project Title
Developing a Virtual Reality Game to Enhance Engagement with IBM SkillsBuild 'Getting Started' Credentials

Project Overview
In this project, students will design and develop a Virtual Reality (VR) or pseudo VR game that mirrors the structure of IBM SkillsBuild for college students. The game will incorporate challenges related to the IBM 'Getting Started' series credentials, where correct answers enable players to progress through the game, while incorrect answers present obstacles.

Objectives
1.    Create an immersive VR environment that represents the structure and learning path of the IBM SkillsBuild platform.
2.    Design interactive challenges and quizzes based on the 'Getting Started' series credentials.
3.    Implement a gamification system where correct answers allow progression and wrong answers introduce obstacles.
4.    Develop a user-friendly interface that enhances the learning experience.

Key Deliverables
1.    Project Proposal: A detailed document outlining the project's scope, objectives, and approach.
2.    Game Prototype: A functional prototype of the VR game, demonstrating key features and user engagement.
3.    Technical Documentation: Comprehensive documentation of the game's development, including architecture, algorithms, and content sources.
4.    Presentation: A presentation summarizing the project's development process, challenges, and outcomes.

 

Suggested Approach
1.    Research and Analysis:
o    Conduct a literature review on educational VR games and their impact on learning.
o    Analyze the IBM SkillsBuild 'Getting Started' series to understand the key concepts and credentials.
2.    Define Game Mechanics:
o    Identify the key topics and credentials from the 'Getting Started' series to be covered in the game.
o    Design challenges and quizzes that test the player's knowledge on these topics.
o    Develop a reward system where correct answers allow players to progress, and wrong answers introduce obstacles (e.g., locked paths, detours).
3.    Develop VR Environment:
o    Create a VR environment that visually represents the IBM SkillsBuild learning path.
o    Design interactive elements, such as portals, puzzles, and NPCs (non-player characters) to guide and challenge players.
4.    Implement Gamification:
o    Integrate gamification elements such as points, badges, and leaderboards to motivate players.
o    Ensure that challenges are fun and engaging, with instant feedback for correct and incorrect answers.
5.    User Testing and Feedback:
o    Conduct user testing with a small group of students to gather feedback on the game's usability and engagement.
o    Make iterative improvements based on user feedback to enhance the overall experience.

 

Example Challenges
1.    Credential Quiz: Players encounter a portal that requires them to answer a multiple-choice question about cloud computing basics. Correct answers unlock the portal, while incorrect answers trigger a puzzle to solve.
2.    Interactive Scenario: Players must navigate a virtual server room and identify key components, such as servers and routers. Correct identification moves the player to the next level, while mistakes introduce obstacles like finding hidden keys.
3.    Coding Challenge: Players are presented with a simple coding task related to AI. Successfully completing the task grants access to a new area, while errors require the player to collect code fragments scattered around the environment.

 

Requirements 

Key Deliverables
1.    Project Proposal: A detailed document outlining the project's scope, objectives, and approach.
2.    Application Prototype: A functional prototype of the AI application, demonstrating key features and usability.
3.    Technical Documentation: Comprehensive documentation of the application's development, including architecture, algorithms, and data sources.
4.    Presentation: A presentation summarizing the project's development process, challenges, and outcomes.

Explore how AI in the form of IBM Granite can be used to create this application

 

A few important notes:

This project is open for multiple students, though you need to work independently (cannot collaborate on literature review, methodology, development, etc).

This is a mentored project by IBM, where you can join weekly group calls to brainstorm, ask questions, get ideas, get suggestions, and (to some extent) get technical support / guidance for the IBM technologies used!

 

The Problem to Solve

Technical documentation is incredibly important to the user – as this helps them to install, configure and use expensive and powerful technologies.

However, there are certain legal constraints around accessibility that mean that colors, video etc are not suitable to be implemented directly into the documentation as they cannot be processed by screenreaders and other accessibility software.

If we cannot directly enhance documentation – can we create a mobile application that uses Augmented Reality and AI to create a more engaging experience – while not disrupting the core documentation itself?

The Detail

From IBM Skills Build Software section review the software , ILOG SPSS, Cognos register/download these tools and review their in product documentation.

Identify a diagram for ILOG/SPSS/Cognos product that is useful to the new user, but needs enhancement to improve consumability 

Show all three diagrams to your IBM mentor.

The deliverable

Choose one of the diagrams with your mentor and  then create an Augmented Reality mobile application, to provide enhancements to the diagram. So when a user moves their phone over the diagram and AR enhancement is shown, providing more detail for the diagram (perhaps an animation of the movement of transactions, or the behaviour of the artifacts in the diagram).

Provide on the application an AI Assistant so that the user can ask questions about the information the diagram is representing. 

Review the following video of a similar project to see how this could look and how AI can be used.

https://youtu.be/VntHPAQYP1w 

 

 

A few important notes:

This project is open for multiple students, though you need to work independently (cannot collaborate on literature review, methodology, development, etc).

This is a mentored project by IBM, where you can join weekly group calls to brainstorm, ask questions, get ideas, get suggestions, and (to some extent) get technical support / guidance for the IBM technologies used!

 

As the pace of technologically enabled social engagement grows, the the elderly become more and more left behind despite the consumability and the capability of the technology. This results in increasing isolation, loneliness and ill health.  We need a ‘Social Pet’ that encourages the user to engage whilst keeping them connected to the outside world.

 

Create a mobile phone based ‘pet’ that responds to being spoken to,  and interacted with. The more the user interacts with the pet, the ‘happier’ the pet becomes. The aim is to create an emotional bond between the user and the assisted living device

This pet should also serve a number of practical purposes as well as providing a form of companionship.

1.    Note the users typical schedule – if the user steps out of this schedule (eg. They usually are down for breakfast by 8am and for some reason they have not been detected) then call out to the user. If the user has heard no response (perhaps the user has fallen) then contact a carer or family member by text.

2.    Pet should ask the user to tell them about their day, and encourage them to plan out what they intend to do.

3.    Pet should also ask the user what they like (music, sport, film, radio, hobbies) and search for podcasts around these topics, and suggest them to the user. Offer to play them at a set time during the day

4.    Pet should allow family members to mobile text and tweet to the Pet, and the Pet should then read the texts to the user. Pet should also allow the user to respond via voice, convert to text and send that via mobile text message or Twitter to the original sender.

5.    Pet should be animated and it should be able to display emotions both audibly and visually (sadness when neglected, happiness when interacted with)
consider creating a ‘virtual pet’ that runs as an app on a tablet.  Perhaps as an added personalisation function, on first activating the Pet – the user is encouraged to talk about who they are, their interests, what music they like, the films they like. 

This will create a series of keywords that are associated with the user – and can be used to search for podcasts and digital entertainment

 

Requirements can be based on a MoSCoW list

Must Have
Design for application
Implement point 2 above with the use of IBM wasonx

Should Have
Implement 3 of the requirements listed above using watsonx

Could Have
Implement all of the requirements above using watsonx

Wont Have
Will not be mechanical/mechatronic – this is something to consider for later projects

 

This is a mentored project by IBM, where you can join weekly group calls to brainstorm, ask questions, get ideas, get suggestions, and (to some extent) get technical support / guidance for the IBM technologies used!

 

Objective: 
Analyze OBD-II data to identify inefficient driving patterns and provide personalized fuel-saving tips. 

 

Dataset: 
KIT OBD-II Dataset 

 

IBM Granite Use: 
Generate coaching tips like “Frequent high RPM detected—consider earlier gear shifts.” 

 

MoSCoW Requirements: 

 

Must: 
•    Estimate fuel usage from MAF and RPM 
•    Identify inefficient driving patterns 
•    Use Granite to generate coaching tips 

 

Should: 
•    Visualize fuel efficiency over time 
•    Provide trip-by-trip feedback 

 

Could: 
•    Provide fuel strategy advice 

 

Won't 
•    Offer interactive q&a 
 
Datasets for ODB-II data 
1. KIT Automotive OBD-II Dataset 
Source: Karlsruhe Institute of Technology (KIT) 
Link: KIT Dataset on RADAR 
Details: 
CSV format 
Includes: engine RPM, coolant temperature, throttle position, intake air temperature, vehicle speed, MAF, and more 
Logged using KIWI 3 dongle + OBD Auto Doctor app 
Covers various driving conditions (e.g., traffic, highway) 
  
📁 2. Vdataset Automotive OBD-II Dataset 
Source: Karlsruhe Institute of Technology (duplicate of KIT dataset, alternate host) 
Link: Vdataset Entry 
License: CC BY 4.0 
Details: Same dataset as above, but hosted on a different platform for broader access. 
  
🧠 3. Kaggle – Search for OBD-II or Vehicle Telemetry 
Source: Kaggle Datasets 
Search Terms: “OBD-II”, “vehicle telemetry”, “car diagnostics” 
Examples: 
“Car Sensor Data” (includes RPM, speed, throttle) 
“Vehicle Sensor Data for Predictive Maintenance” 
“Driving Behavior Dataset” 
  
Required Learning - https://ibm.biz/SBAICourses   - Open, Start and Review the IBM Granite related badges

 

This project is open for multiple students, though you need to work independently (cannot collaborate on literature review, methodology, development, etc).