Empowering Learners Through Personalised AI Solutions

Build an AI Study Coach Hackathon

  • STARTS ON10th May, 2025
  • HACKATHON MODEOnline
  • ENDS ON25th June 2025
  • Winners Announcement15th july 2025

No video has been submitted for the contest. Be first!

Submission Specifics

  • The video and text description must describe how the project works and how it can be installed successfully.
  • Projects must run on the platform specified in the submission requirements.
  • Projects must be made freely available without restriction by the entrant.
  • All submission materials must be in English.
  • Submit your complete participation form on LSET before the final deadline.

Eligibility

  • Regardless of their backgrounds, genders, or locations, all individuals are welcome to participate in the LSET Hackathon above the legal age of 18.
  • Committee members are not eligible to participate in the hackathon. During the coding/development phase, they may assist the team mentors.
  • No country restriction applies, but if you win, you're responsible for paying any taxes or visa fees on the prize winnings (if you win).

Team Formation

  • The number of team members can range from one to four. On a case-by-case basis, exceptions can be made for teams with more than four members. Contact the LSET hackathon committee if you need a team of more than four members.
  • Changes to team members are not permitted.
  • As determined by the judging committee, exceptions may be made on a case-by-case basis.

Project Submission

Team names and LSET registration are required for all teams.

The LSET team page listing should have the following:

  • The team lead should list a mobile phone number on the team LSET page (after judging is completed, the number may be removed)
  • Brief biographies will be provided for all team members.
  • Short abstract of the project (optional).
  • The hackathon theme.
  • The development tools used to build the project.
  • APIs used in the project.
  • Any assets used in the project.
  • Any libraries used in the project.
  • Any components not created during the hackathon.
  • A link to the team's GitHub repository.
  • Upload a YouTube video demonstrating the application with a screen capture.

All projects should be submitted to the hackathon LSET account (TBA) before judging begins on Sunday, November 26th, 2023, at 2:00 p.m. GMT. Disqualification will result from failure to submit. The team repository should be committed regularly throughout the hackathon. A team that commits its entire repository near the end of the hackathon, Sunday, November 26th, 2023, could be disqualified for violating a rule.

All project submissions will be randomly code-reviewed. All applications will undergo random checks by code reviewers. Projects chosen as finalists by the judges will undergo a thorough code review process to ensure the code is original and created specifically for the hackathon.

When development ends, at least one member from each team will meet with the judging team to review their submissions and verify that their LSET pages have been updated correctly.

Social Media Rules & Regulation

By participating in the hackathon and agreeing to these terms and conditions, you commit to engaging with the London School of Emerging Technology's social media platforms in the following ways:

  • Social Media Engagement: The LSET requires you to follow all official social media platforms, like Instagram, Facebook, Twitter(X), LinkedIn, and any other channels specified.
  • Active Engagement: You must actively engage with LSET's social media content. This includes regularly liking, sharing, and commenting on our posts as appropriate and relevant to the content.
  • Subscription: You must subscribe to LSET's social media channels where applicable, such as YouTube channels or newsletters, as specified by LSET.
  • Story Reposting: You are expected to repost LSET's stories or relevant content on your own social media channels. This helps in spreading awareness about the hackathon and LSET's initiatives.
  • Content Appropriateness: When engaging with LSET's social media content, you must ensure respectful and relevant. The social media platform's community guidelines and policies must also be followed.
  • Acknowledgement and Attribution: When sharing or reposting LSET's content, you must acknowledge and attribute it to LSET appropriately. Do not present LSET's content as your own.
  • Privacy and Data Protection: You must respect the privacy of individuals in any content you share or repost. Obtain necessary permissions and consent when featuring individuals in your posts.
  • Compliance with social media Rules: You are responsible for complying with the rules and terms of use of the social media platforms you use to engage with LSET's content.
  • Promotion Period: These terms apply during the promotion period specified by LSET for the hackathon or related initiatives.
  • Termination of Participation: LSET reserves the right to terminate your participation in the hackathon or related initiatives if you fail to adhere to these terms and conditions.
  • Modification of Terms: LSET may modify these terms and conditions at any time, and it is your responsibility to review them regularly for updates.

How to Participate

  • Register for the hackathon.
  • Form a team or participate individually.
  • Develop an AI-powered career guide website.
  • Submit your project video (3 minutes) on YouTube and provide a description.
  • Showcase your project’s impact and implementation.

By participating in the hackathon and engaging with LSET's social media platforms in the ways outlined above, you acknowledge that you have read, understood, and agreed to these terms and conditions. Failure to comply with these terms may result in the termination of your participation in the hackathon.

Welcome to the LSET International Hackathon for AI Study Coach!

Hackathons dedicated to AI and technology have become key drivers of innovation in the education sector. These events provide an exciting platform where educators, technology enthusiasts, and creative thinkers come together to solve significant challenges in learning and personal development. Participants form teams and work to design pioneering solutions that leverage the power of AI to create personalised study tools, empowering students to identify their strengths and weaknesses and take charge of their educational journey.

The LSET AI Study Coach Hackathon brings together AI experts, educators, and tech-savvy individuals to craft innovative AI-driven applications and tools that can transform the way students learn. The goal is to design intelligent study coaches that analyse students' performance, detect learning gaps, and offer tailored recommendations to improve their skills in a fun and engaging way.

Additionally, the LSET International AI Study Coach Hackathon encourages collaboration and cross-disciplinary learning, cultivating a culture of openness and knowledge-sharing among participants. The outcomes of this event extend far beyond the competition, with many ideas and prototypes being developed into practical tools that benefit students, educators, and institutions alike. In a time when AI's role in education is ever-growing, LSET hackathons are a crucial force in driving innovation, pushing boundaries, and improving the way students approach their studies.

Project Overview

An AI-powered website that helps students assess their academic strengths and weaknesses, offering personalised learning plans and recommendations. The system will use Machine Learning (ML) to analyse student performance, identify areas for improvement, and provide tailored resources to optimise their learning experience.

How It Works

  • User Inputs: The student answers a set of questions about their academic performance, preferred learning style, and subject preferences.
  • Data Processing: The AI model processes these responses using classification and clustering algorithms to identify trends and gaps.
  • Performance Analysis: The system evaluates the student's current academic standing, pinpointing areas of strength and areas requiring improvement.
  • Study Recommendations: Based on the analysis, the AI suggests personalised study materials, strategies, and resources to enhance learning.

Tech Stack

  • Frontend: HTML, CSS, JavaScript (for a user-friendly, interactive interface)
  • Backend: Python (Flask/Django for API handling)
  • Machine Learning: Scikit-learn (K-means Clustering, Decision Trees, or Naïve Bayes for analysis)
  • Database: SQLite / Firebase / PostgreSQL (for storing user responses, study resources, and progress tracking)

Additional Features

  • Personalised Learning Plans: Based on the AI analysis, students will receive study schedules and targeted resources.
  • Progress Tracking:Track and monitor improvements over time, adapting the learning plan as needed.
  • Skill Development Suggestions: AI recommends ways to develop skills in subjects where the student is struggling, such as offering specific exercises or study tips.
  • Interactive Feedback: Provide regular insights and encouragement through the AI, which adapts to the learner’s evolving needs.

Features to Include

  • Performance Analysis System: AI analyses test results and identifies academic strengths and weaknesses.
  • Personalised Study Recommendations: Provide learning resources and exercises based on the areas the student needs to improve.
  • Interactive Feedback: Allow students to receive continuous feedback based on their progress.
  • Progress Tracking & Adaptation: Track student progress over time, adjusting recommendations as they improve.

Rewards

Grand Prize

Winner

  • £1,000 cash reward The winning team will receive a £1,000 cash prize for their outstanding AI-powered study coach solution.
  • Hackathon Participation Ticket A free ticket worth £150 to join our next AI/ML hackathon.
  • Certificate of Achievement Official recognition for your participation and success, awarded to all team members.
  • Feature in PR & Social Media Get the spotlight as the winning team, featured in our press releases and on LSET’s social media platforms.
SPONSOR US

SPONSOR US

Become a key partner in the LSET International AI Study Coach Hackathon and help shape the future of education. By sponsoring this event, you’ll support the development of AI-driven solutions that empower students to enhance their learning journeys and academic performance. Join us as a sponsor to create a transformative experience for participants while empowering the next generation of AI-driven educational tools.

Event Highlights

  • Location: Virtual Event.
  • Theme: AI-Powered Study Coach.
  • Who Can Participate: Open to students and working professionals worldwide.
  • Prizes: Win a £1,000 cash prize and a free £150 ticket to join our next AI/ML hackathon.
  • Networking: Connect with fellow tech enthusiasts, mentors, and potential employers.
  • Workshops: Participate in skill-enhancing workshops and sessions (coming soon)
  • Judges: A panel of esteemed experts from the tech industry.
  • Sponsors: Supported by leading tech companies.
  • Collaboration: Form teams or work individually to tackle real-world challenges

REQUIREMENTS

  • Build a fully functional AI-powered career guide web application.
  • Provide social media page link of your project. (Kindly read social media rules & regulation.)
  • Read rules & regulation on how to create AI-Powered career guide applications.
  • You should upload a video on YouTube (about 3 minutes) that demonstrates your submission.
  • Describe how the new features were implemented in your project. (Text description)
  • Highlight your project's positive impact on Career.

Judge

Mayur Ramgir

Published Award Winning Author | Expert on Java and Python

JUDGING CRITERIA

Points: 15

Quality of the Idea

Creativity and originality of the concept.

Points: 15

Technology

  • Technical complexity and implementation.
  • Use of innovative techniques and multiple components.
  • If no code, is the tech usage plan clear and impressive?
Points: 10

Design

  • User experience and interface design.
  • Aesthetics of the website (CSS, graphics, layout).
  • Ease of use and cool interface features.
Points: 15

Novelty

  • Fresh approach to solving a problem.
  • Inspires innovation in the next generation.
Points: 20

Impactfulness

  • Social impact and real-world relevance.
  • Does the project address a significant need?
Points: 20

Implementability/Practicality

  • Feasibility of implementation within 3-5 years.
  • Quality of execution and functionality.
Points: 20

Potential Value to Businesses

Contribution to business growth and efficiency.

Points: 15

Scalability

  • Can the project handle larger user loads?
  • Future adaptability and expansion potential.

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Hackathon Sponsors

Organised by

London school of emerging technology

Title Sponsor

Zonact Healthcare

Technology Partner

Zonopact

Gold Sponsor

Silver Sponsor

GenieoWeb