Nijimap is designed to reduce information gaps in event navigation by providing a comprehensive platform for users to find, explore, and interact with various events occurring in Malaysia. With features like customized maps, event details, and ticket purchasing options, it facilitates seamless planning for attendees. Enhanced by AI and crowd-sourcing, Nijimap helps users stay informed about crowd densities and parking availability, making it an essential tool for anyone wanting to attend events efficiently.

Travel Agent based on Qwen2 RLHF is an AI-driven travel assistant that harnesses reinforcement learning from human feedback to optimize every aspect of trip planning. Combining real-time flight and hotel availability, local attraction databases, and user-defined preferences, the agent curates daily schedules, dining recommendations, transportation routes, and budget breakdowns. It supports multi-destination trips, group travel coordination, and last-minute changes, adjusting itineraries on the fly. Through a conversational interface, travelers input budget, dates, interests, and accommodation standards, receiving detailed plans including maps and packing checklists. Continuous interaction and feedback enable the model to learn individual tastes, improving relevance over time and delivering tailored, seamless travel experiences.