Tackling Malware Threats on Android Environment

The prevalence of sophisticated malware threats has risen significantly, posing serious risks to computer systems by inflicting substantial damage, compromising sensitive data, and resulting in financial losses. Recent incidents, such as hackers targeting  Android users with a trojanised version of the Telegram app , and Google suspending an  e-commerce app Pinduoduo over malware concerns, highlight the urgency for robust mobile security solutions. It is noteworthy that Android devices, constituting approximately 70% of the global market share , are particularly vulnerable, emphasizing the critical importance of effective security measures in this widely utilised environment. 

AI-Based Dynamic Route Optimization And Driver Job Recommendation Tool

Same-day logistics players are crucial for the growth of eCommerce, particularly in urban areas. With eCommerce platforms facilitating continuous sales from multiple vendors, the logistics challenge has intensified. Logistics operators must pick up items from various decentralized locations and deliver them, handle dynamically generated delivery orders, and optimize order delivery for a win-win scenario among stakeholders (customers, eCommerce platform providers, vendors, logistics providers, and riders). In this industry, route optimization and rider dispatch is essential to increase earning potential for riders and reduce carbon footprint.

Web-Scale Discovery and Integration of Comparative Product Offers

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.

Collaborative Urban Delivery Optimisation (CUDO)

Consumer trends have had a significant impact on urban logistics. One key trend is the rise of e-commerce and online shopping, which has led to an exponential increase in package deliveries to urban areas. This surge in demand has put pressure on logistics service providers (LSPs) to develop more efficient and responsive last-mile delivery solutions.

Foodbot: Empowering Healthy Eating through Goal-oriented Chatbot Intervention

With increasing attention on healthy eating habits, there is still a lack of tools to motivate, personalise and provide timely support to those who need it in the general population. Personalized guidance considers preferences and dietary restrictions for long-term adherence as well as helping to prevent diet-related diseases. With more personalized and timely support, it can motivate individuals to sustain healthy eating habits. 

skillER: Effortless Skill Mention Extraction from Job Ads

Identifying skills mentioned in a job advertisement is crucial for both job seekers and employers. For agencies, public or private, that are tasked to provide job matching services, it optimizes recruitment practices and ensures a good fit between candidates and job requirements.

Facial Weight Progression and Regression with Deep Learning

With the rise of digital platforms and online content consumption, there is a growing demand for tools that facilitate the customisation of engaging digital content. Traditional approaches may require significant amounts of labeled image data and may not generate realistic or high-quality transformations. This introduces an opportunity to introduce a framework that overcomes these limitations and provides a solution for seamless and realistic facial weight adjustments with deep learning. 

Generative Pre-training Based Cooking Recipe Generation and Evaluation System

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.

Food Image Recognition for Asian Food

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.

An Intelligent (Machine Learning) AI Platform for Health and Fitness

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.