Empowering Learners Through Personalised AI Solutions

Build an AI Study Coach Hackathon

STARTS ON10^th May, 2025
HACKATHON MODEOnline
ENDS ON25^th June 2025
Winners Announcement15^th july 2025

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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

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

Know More

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.

Hackathon Sponsors

Organised by

Title Sponsor

Technology Partner

Gold Sponsor

Silver Sponsor