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Five final-year B.Tech. students of Electronics and Instrumen-tation Engineering developed a novel Human Computer Interface that effectively bridges the gap between man and machine. Chosen as best project from the department, the Human Computer Interface was conceived as a low-cost yet efficient gesture recognition.