Abu Dhabi University Research Competition 2025! – How iCue Leverages AI and Data Analytics for Smarter Billiards Training

muhammadsirajbilal
Mar 31
3 min read

In the world of sports training, technology is redefining how players improve their skills. iCue is at the forefront of this transformation, integrating AI-driven analytics to help billiards enthusiasts refine their techniques and enhance their gameplay. Designed for both amateurs and professionals, iCue provides real-time feedback and performance insights, making practice sessions more effective and engaging.

Let’s explore how iCue aligns with key training methodologies, leveraging AI, biomechanics analysis, and real-time data tracking to revolutionize billiards training.

1. AI-Powered Motion Analysis

Precision and consistency are crucial in billiards. iCue’s advanced AI algorithms analyze cue stick movement to detect subtle errors in alignment, stroke consistency, and shot execution.

How iCue Enhances Training:

Tracks gyroscopic and accelerometer data using an ESP32 and MPU-6050 sensor.
Detects deviations in shot execution and provides actionable insights.
Uses AI-driven recommendations to help players correct their stance and stroke.

With iCue, players receive instant feedback, allowing them to refine their technique in real-time.

2. Data-Driven Performance Tracking

Traditional billiards training often relies on subjective assessment. iCue introduces an objective, data-driven approach by recording shot metrics and performance history.

How iCue Optimizes Training:

Stores historical shot data for detailed performance analysis.
Identifies patterns in errors and strengths over multiple practice sessions.
Allows users to set personalized goals and track improvements over time.

By utilizing a structured approach to skill development, iCue ensures consistent progress for every player.

3. Personalized Coaching Through AI Chatbot

Beyond data analytics, iCue features a built-in chatbot designed to answer user queries related to billiards techniques, rules, and shot performance.

How iCue’s Chatbot Adds Value:

Provides instant responses to common billiards-related questions.
Offers shot-specific recommendations based on performance data.
Assists players in understanding advanced techniques through interactive learning.

This AI-powered assistant transforms the learning process, making knowledge easily accessible for all players.

4. A Dedicated Profile Page for Player Insights

To enhance user engagement, iCue includes a profile page where players can view their complete shot history, performance analytics, and personalized training insights.

What the Profile Page Includes:

A log of previous shot data and accuracy trends.
Customizable training goals and improvement tracking.
Access to personalized AI-driven feedback for skill refinement.

With iCue’s holistic approach to training, users can track their journey from amateur to professional with a comprehensive performance dashboard.

iCue Competes in the Innovation Category of the Abu Dhabi University Research Competition 2025!

Exciting news! On March 22, 2025, I officially submitted iCue to the prestigious Abu Dhabi University Research Competition under the Innovation category. This marks a significant milestone in my journey to revolutionize billiards training through AI and data analytics.

iCue is more than just a training tool—it’s a step toward making billiards training smarter, more accessible, and backed by science. The competition submission involved refining the core methodologies, integrating user feedback, and showcasing how iCue’s AI-driven approach can redefine sports training and market analysis on how to make iCue a successful business venture in the future.

Participating in this competition is a fantastic opportunity to present iCue to a broader audience and demonstrate its potential impact in the sports technology space. Regardless of the results, this experience has been invaluable, offering insights, networking opportunities, and motivation to push iCue even further.

A big thank you to my mentor, Dr. Judhi Prasetyo, and Middlesex University Dubai for their continuous support! Looking forward to what’s next for iCue! 🚀🎱

My submission paper can be found below and also on the 'Documents' page.

Stay tuned for more updates and fingers crossed for the competition results 🤞🏼!