Robust Component Classifier

The service offered was the development of a comprehensive component classification system using object detection, which utilized a tech stack consisting of Python, Keras, TensorFlow, SSD Mobilenet CNN, Kubeflow, GCP, scikit-learn, Flask, and OpenCV to achieve accurate component identification, robustness to

AI-Enhanced Dining

Deployed machine learning and data analytics, incorporating data augmentation techniques and deep learning algorithms, and implementing a comprehensive approach, including a tailored dashboard, advanced sales forecasting, menu engineering, promotional day suggestions, real-time cooking time estimation, personalized recommendations, and AI-driven staffing and

Logistics Automation

Client Objectives The Client is the leader in developing transportation & logistics solutions for the Transportation & service Industry. The client is looking for a reliable partner who will help them in relinquishing the logistics automation battle with AI & ML-based