Empowering Students with AI: Discover the Best Career Paths Through Intelligent Guidance!

AI-Powered Career Guide Hackathon

  • STARTS ON10th March, 2025
  • HACKATHON MODEOnline
  • ENDS ON25th April 2025
  • Winners Announcement15th May 2025

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-Powered Career Guide!

Hackathons dedicated to AI and technology have emerged as critical catalysts for innovation in the education sector. These events serve as dynamic platforms where educators, technology enthusiasts, and creative thinkers converge to solve pressing career guidance challenges. Participants form teams and work to develop groundbreaking solutions that harness the potential of AI to provide personalised career recommendations and empower students in making informed decisions about their futures. The LSET AI-Powered Career Guide Hackathon unites AI professionals and tech-savvy individuals to devise innovative web applications and analytics that could potentially transform career guidance and student mentorship.

Furthermore, the LSET International AI-Powered Career Guide Hackathon promotes collaboration and cross-disciplinary learning, fostering a culture of openness and knowledge-sharing among participants. The outcome of this event extends far beyond the competition, as many of the ideas and prototypes generated find their way into real-world applications that benefit students, career counsellors, and educational institutions. In an era where the convergence of AI and education is paramount, LSET hackathons play a pivotal role in driving progress, pushing boundaries, and ultimately improving the way students receive career guidance.

Project Overview

An AI-powered website that helps students find suitable career paths based on their interests, skills, and personality traits. The system will use Machine Learning (ML) to recommend career options based on user inputs.

How It Works

  • User Inputs: The student answers a set of questions about interests, skills, and preferred work style.
  • Data Processing: The AI model processes the responses using classification algorithms.
  • Career Prediction: The system suggests career paths (e.g., Software Engineer, Data Scientist, Designer, Doctor, etc.).
  • Additional Features: Display salary insights, required skills, and learning resources.

Tech Stack

  • Frontend: HTML, CSS, JavaScript (for a simple and interactive UI)
  • Backend: Python (Flask/Django for API handling)
  • Machine Learning: Scikit-learn (Decision Trees, Random Forest, or Naïve Bayes for classification)
  • Database: SQLite / Firebase / PostgreSQL (for storing user responses)

Features to Include

  • Career Recommendation System: AI suggests careers based on user responses.
  • Personality-based Matching: Use basic ML algorithms to match career paths with student personalities.
  • Skill & Learning Path: Recommend online courses or books to improve relevant skills.
  • Future Salary Insights: Show potential salaries and job growth rates.

Rewards

Grand Prize

Winner

  • £1,000 cash reward
  • Hackathon Participation Ticket: A free ticket worth £150 to join our next AI/ML hackathon
  • Certificate of Achievement
  • Feature in Global PR & Social Media
SPONSOR US

SPONSOR US

Be a part of the London School of Emerging Technology International AI-Powered Career Guide Hackathon and join us in our journey as a sponsor to build a better future for the next generation of AI-driven career solutions. Empower the next generation of entrepreneurs and innovators in the field of education and career guidance globally.

Event Highlights

  • Location: Virtual Event.
  • Theme: AI-Powered Career Guide.
  • Who Can Participate: Open to students and working professionals across the globe.
  • Prizes: A free ticket worth £150 to join our AI/ML hackathon, with a chance to win £1,000.
  • Networking: Connect with fellow tech enthusiasts, mentors, and potential employers.
  • Workshops: Engage in skill-enhancing workshops and sessions. (Coming soon)
  • Judges: A panel of esteemed judges 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