Developed comprehensive machine learning solutions for restaurant operations at Inzpire Solutions, a Chennai-based technology company specializing in hospitality industry automation. Focused on computer vision applications for inventory management, quality assessment systems, and real-time monitoring solutions that enhanced operational efficiency across multiple client establishments.
Engineered ML-powered stock analysis systems using object detection to automate inventory tracking. Developed supply verification algorithms that cross-referenced received goods against orders, reducing manual counting errors by 85% and improving stock accuracy across restaurant operations.
Created computer vision models for automated cleanliness assessment of utensils and kitchen equipment. Implemented CNN-based classification achieving 94% accuracy in detecting hygiene compliance issues, enabling real-time sanitization monitoring throughout client establishments.
Developed vision-based systems for continuous shelf inventory monitoring using edge computing. Implemented streaming inference pipelines that process video feeds in real-time, automatically flagging low-stock items and generating reorder alerts for restaurant managers.
Contributed to multiple open-source datasets for hospitality industry AI applications. Curated and annotated 5,000+ images across various categories including kitchen equipment, food items, and cleanliness indicators, supporting broader research and development efforts.
Inzpire Solutions is a Chennai-based technology company specializing in AI-powered solutions for the hospitality industry. The company focuses on developing innovative automation tools that help restaurants and food service establishments improve operational efficiency, maintain quality standards, and reduce manual overhead.
Official completion certificate from Inzpire Solutions acknowledging successful internship
Original internship offer letter detailing position terms and responsibilities
Comprehensive technical report documenting all projects and methodologies