Skills Developed

• Technical Skills: Python programming, TensorFlow, OpenCV (image processing library)
• Soft Skills: Communication, teamwork, problem-solving, critical thinking

Conclusion:

My internship at Nala Robotics was a valuable learning experience. I gained a comprehensive understanding of machine learning applications in robotics and developed expertise in image recognition and model development. The experience of collaborating with a cross-functional team and tackling real-world engineering challenges has significantly improved my technical skills and solidified my interest in pursuing a career in robotics.

Optional Section: Challenges Faced

One of the major challenges I faced was the limited availability of training data for certain types of dishes. I overcame this challenge by implementing data augmentation techniques to artificially expand the dataset and improve the generalizability.

During my internship at Nala Robotics, I worked as a Trainee Engineer Intern on the Spotless project. Spotless is a fully automated robotic dishwasher designed to wash, rinse, dry, stack, and store dishes in commercial kitchens. It uses high-performance camera systems and machine learning to identify and handle various types of dishes.