Online shopping offers consumers a wide range of products from various e-commerce platforms. To compare prices, users need to search multiple sites, collect and organize data, and identify identical products. This manual process is tedious and time-consuming.
Advancements in AI have fueled a growing interest in the automatic generation of cooking recipes. With the abundance of online cooking recipes, a cutting-edge application called CulinAI—an intelligent system for recipe generation and evaluation has been developed that leverages AI to create innovative cooking recipes and instructions.
With greater emphasis on healthy living and healthier food choices, there is a need to track calorie and nutritional intake to better manage balanced diets and improve healthy lifestyle. By providing the capability to distinguish non-food images effectively, it helps to automate food logging to track calorie intake, enabling individuals to maintain a balanced diet and adopt a healthy lifestyle.
Indoor location tracking is a valuable capability for various applications, but existing solutions often require costly infrastructure investments or have limited compatibility with specific devices. There is a need for an indoor location system that works seamlessly with existing Wi-Fi infrastructure, without requiring additional costs or device-specific limitations.
Researchers in healthcare and retail domains face challenges in capturing and analyzing personalized lifestyle data. Existing approaches require manual effort or extensive infrastructure deployment, resulting in inefficiency and privacy concerns. There is a need for a technology that reduces human effort and privacy concerns while capturing and analyzing personalized lifestyle data.
Obesity rates have tripled since 1975 and are projected to reach 15% of the global and Singaporean population by 2024. Existing health and fitness apps have limitations, failing to make a long-term difference for users. Customers often opt out due to data input requirements, lack of personalization, and the non-motivating nature of the apps.