Problem: Large Language Models (LLMs) have revolutionized software engineering by automating tasks such as code quality improvement, refactoring, and code review suggestions. Despite these advancements, current tools ...

Maintaining proper exercise technique during home workouts is critical to achieving fitness goals and preventing injuries. However, many individuals lack access to professional guidance and proper form correction. Existing ...

Music creation is game development has always been a daunting task. A good immersive sound track can make or break the emotional experince of a video game. Even though high end tripple A game studios with big budgets ...

Accurately predicting a movie’s success before its release remains a key challenge in the film industry. Traditional models rely heavily on post-release feedback or superficial metadata, often ignoring the narrative ...

Accurately predicting bug fix times within software projects remains a crucial yet elusive task. While existing research has explored bug prediction, the specific domain of predicting bug fix times on GitHub using machine ...

The rise of clickbait on YouTube undermines user trust and platform credibility by using misleading titles and thumbnails. Current detection methods, which focus mainly on text or engagement metrics, fall short in addressing ...

Problem: Retailers capture extensive products and store sales data but still manually group stores and design planograms for shelf space, relying on subjective, outdated methods. These department-by-department processes ...

This research addresses the integration of Robotic Process Automation (RPA) and Machine Learning (ML) to enhance the efficiency and accuracy of document processing in various business environments. The study identifies ...

Problem: Large Language Models (LLMs) such as GPT have revolutionised digital applications but remain vulnerable to ""jailbreak prompts"" that bypass safety mechanisms, potentially causing harmful outputs. Existing ...

Problem: Mental stress significantly affects physical and mental health, leading to decreased productivity and long-term health issues. Traditional detection methods, such as physiological monitoring and self-reporting, ...