Crude oil contamination of soil is a complex environmental challenge requiring novel remediation approaches. This study designed a synergistic system combining electrokinetics (0, 1.5, and 3 V/cm), phytoremediation with Bermuda grass, and bioremediation using a bacterial–algal consortium (Pseudomonas fluorescens and Chlorella) at moisture levels of 60%, 80%, and 100% of field capacity. The system was evaluated for remediating soil contaminated with 1.5%, 3%, and 4.5% crude oil. Response Surface Methodology (RSM) was used to optimize and model treatment effects on plant growth indices (fresh and dry weight, height, leaf area, and greenness index). RSM analyses showed complex interactions between electric field intensity, contamination level, and the biological consortium, with models achieving high R² values (0.82–0.99). Under optimal conditions, all plant indices increased with the application of the integrated electrokinetic-bioremediation system, and the greatest improvement in the studied variables was observed in samples containing the algal–bacterial consortium, representing the innovative aspect of this research. The maximum values of fresh and dry weight, greenness index, plant height, and leaf area were observed in treatment No. 22 (1.5% crude oil contamination, electric current of 1.5 V/cm, biological treatment with 3% algal (Chlorella)-bacterial (Pseudomonas fluorescens) consortium, and soil moisture at 80% of field capacity), reaching 50.10 and 20.67 g/pot, 70.50 and 45.50 cm, and 4.90 cm²/pot, respectively. The results demonstrated that employing an integrated electrokinetic–biological–phytoremediation system alongside modeling approaches (e.g., RSM) can provide an effective and scalable strategy for managing oil-contaminated soils and enhancing plant resilience in such environments.