The study investigates the utilization and optimization of biodiesel production from an algae species Sargassum myriocystum seaweed. The data collected from experiment phase was utilized for Particle Swarm Optimization (PSO) approach to enhance yield. The algal oil underwent transesterification with methanol and sodium hydroxide. Critical process variables such as Molar to Oil Ratio (MOR), CaO catalyst, and ultrasonic duration (UT) were finetuned for optimal yield. Heatmap results indicate that MOR has the most significant impact on yield (R = 0.79), but UT (R = 0.63) and CaO (R = 0.52) contribute to a lesser extent. Executing the PSO method for 100 iterations resulted in optimal values of 16.21 for MOR, 5.14 for CaO, and 73.15 min for UT, achieving an approximate yield of 99.8%. Experiments closely aligned with predictions. This method, employing seaweed and meta-heuristic optimization, effectively converts it into fuel and assists in selecting optimal processing variables.