Technology is evolving so much that it is practically necessary to have digital devices, particularly television, smartphones, the Internet, and video games. Adolescents are so accustomed to being surrounded by gadgets. However, excessive usage of these digital tools could severely impact their lives, especially their academic and social connections. The situation is no different in India, especially with the proliferation of smartphones. The number of social media users has increased significantly. Social connectedness affects both adolescence and adulthood development tasks. Social connectivity is negatively affected if technology restricts natural social relations and creates isolation and alienation. This research work introduces a Digital Distraction Detection Algorithm (DDA) aimed at identifying and mitigating social media distractions for students, contributing to sustainable academic development. The DDA algorithm is evaluated against three other algorithms: Digi Track Predictor (DTP), Tech Impact Predictor (TIP), and Digital Distraction Prevention Algorithm (DDPA). The proposed DDA demonstrates superior performance in terms of precision, recall, F-measure, and accuracy.