Inside the Five Finalist Teams of Miva’s First AI Hackathon

Miva Open University’s first AI Hackathon brought together some of the institution’s most creative and driven students to solve real-world problems using artificial intelligence. 

Over an intense period of collaboration, ideation, and rapid development, five finalist teams emerged with solutions focused on education, productivity, accessibility, and personalised learning.

Each team identified a clear problem, designed an AI-powered product, and pitched a solution aimed at real users. Here is a closer look at what each finalist team built.

Team Alpha: PadiMi (AI Scheduling Assistant)

Team Alpha developed PadiMi, an AI-powered scheduling assistant designed to eliminate the stress students face when trying to manage classes, assignments, meetings, and personal commitments. The idea was inspired by the common experience of students spending hours planning their week, only for one change to disrupt their entire schedule. 

PadiMi allows users to input their goals, LMS deadlines, and commitments, after which the system automatically builds and maintains an optimised, flexible schedule. It integrates with Google Calendar and communicates directly with users via Telegram, where schedules can be adjusted simply by sending a message.

The product is designed for students, lecturers, and teams, helping users avoid missed deadlines, protect focus time, and manage back-to-back commitments more efficiently.

Michael Oluwole, COO of Touch and Pay Technologies, helped Team Alpha stay organised and grounded, guiding them to turn big ideas into structured, workable solutions through his strong background in product execution and operations.

Meet Team Alpha:

• Princewill Felix
• Faruk Bilesanmi
• Abdulrahman Adewale Adegeye
• Esih Egwurube

Team Beta: Reframe AI (Interview Preparation Platform)

Team Beta focused on employability by building Reframe AI, an AI-powered interview preparation platform aimed at helping users practise and improve their interview skills. The solution offers mock interview sessions, role-specific question banks, and AI-driven feedback to help candidates gain confidence and refine their responses.

By simulating real interview scenarios, the platform addressed a common challenge faced by students and early-career professionals entering the job market.

Vangelis Oden, a machine-learning and data systems expert at Kera Health, supported Team Beta by helping them translate complex AI concepts into practical, functioning technology, ensuring their interview-preparation platform was not only smart but also technically sound.

Meet Team Beta:

• Chimdindu Onyejiaka
• Maxwell Chinemerem Ugochukwu
• Joseph Smart
• Solomon Azowenu

Team Delta: FlashMind AI (Personalised Learning Platform)

Team Delta developed FlashMind AI, an AI-powered personalised learning platform designed to address the lack of tailored academic support for students, especially those struggling with complex subjects or limited access to quality tutors. FlashMind can summarise lecture notes and PDFs, automatically generate quizzes and interactive tests, and create flashcards for effective revision.

A key differentiator is its domain-restricted AI approach: FlashMind limits its responses to verified, school-approved content rather than the open internet, ensuring curriculum alignment, accuracy, and data safety. The platform aims to help students cover large volumes of material efficiently, build confidence, and prepare for exams within tight deadlines.

Solomon Kershima Yateghtegh, founder of SKYHUB Nigeria, mentored Team Delta with a strong focus on innovation, collaboration and start-up thinking, encouraging the team to aim for meaningful, real-world impact.

Meet Team Delta:

• Ifeanyi Emmanuel Joseph
• Ajayi Ezekiel Oluwaseun
• Nanle Nathaniel
• Akinsola Ibrahim Opeyemi
• Mutohir Okuniyi
• Mbanugo Ugochukwu Franklyn
• Augustine Yusuf

Team Epsilon: Tega (AI Learning Companion for Neurodivergent Learners)

Team Epsilon, the overall winners of the hackathon, created Tega, Nigeria’s first AI learning companion designed specifically for neurodivergent learners, including individuals with ADHD, dyslexia, and autism. Tega uses a patience-first learning approach, offering adaptive micro-lessons that break concepts into short, manageable segments with no time pressure and unlimited retries.

The platform supports multimodal learning through voice-first guidance, visual explanations, and interactive exercises, and it teaches practical academic and life skills using local Nigerian contexts. Tega is built to work offline, supports Nigerian languages and accents, and runs on low-end smartphones, making it accessible to learners often excluded by traditional systems.

Olamide Afolabi, fintech leader and CEO of Touch and Pay Technologies, brought valuable business and AI insight to Team Epsilon, helping shape a solution for neurodivergent learners that was both thoughtful and commercially relevant.

Meet Team Epsilon:

• Orji Kamdilichukwu Miracle
• Tunji David Obidokun
• Usman Balogun
• Emmanuel Udeanukwu
• Trust Obajemini
• Tasie Peace Eberechi

Team Gamma: StudySpark (AI Study Companion for Working Students)

Team Gamma introduced StudySpark, a mobile-first AI study companion created specifically for working-class and open-university students who struggle with inconsistent schedules and limited study time.

StudySpark helps learners stay organised and exam-ready by transforming course materials into concise summaries, generating adaptive quizzes, and sending smart reminders based on individual study habits.

The platform uses predictive analytics to analyse performance, identify strengths and weaknesses, and recommend targeted learning resources such as YouTube videos or textbooks. It also includes CBT exam simulations, allowing students to practise under realistic, timed conditions, and gamified social features that improve motivation and accountability.

Chris Kwekowe, Head of Peralta at AFG and passionate advocate for technology education and youth empowerment, energised Team Gamma to stay curious and confident, inspiring them to build a personalised study coach with creativity, purpose and heart.

Meet Team Gamma:

• Salam Moshood
• Godwin Chisom Henry
• Abolade Greatness
• Olaniyi Temitayo
• Adenusi David Olamide
• William Akinyemi
• Abdulhamid Ibrahim
• Abdullah Kolapo Ganiyu

Conclusion

The five finalist teams at Miva’s first AI Hackathon demonstrated how student-led innovation can tackle real challenges using thoughtful, user-centred AI solutions. From productivity and personalised learning to accessibility and employability, each team presented a product grounded in real user needs and practical application.

The hackathon not only showcased technical creativity but also reinforced the importance of designing AI tools that are inclusive, scalable, and impactful beyond the competition itself.

If you’re ready to build intelligent systems, solve meaningful problems, and shape the future of technology, don’t dally. Join these bright minds in Miva’s School of Computing and the Master of Information Technology (MIT) programme.