- Developed models for spacecraft collision avoidance and prediction using CNN and RNN architectures and achieved validation accuracies of 96.71 % (CNN) and 92.85 % (RNN) respectively. – Improved prediction accuracy with an F-beta score of 0.203 (RNN) and 0.167 (CNN), reducing false collision alerts by 95%.