Created on 27th October 2024
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Emerging educational institutes with diverse vendors lack digital platforms for streamlined buying and selling, limiting economic opportunities and making transaction tracking, inventory management, and community engagement challenging. Vendors struggle with accurate demand forecasting, while students lack a cohesive platform to buy, sell, and access essential goods and services within their campus. Our platform empowers campus communities with a dynamic, AI-driven marketplace that simplifies inventory management for vendors, enhances shopping experiences, and promotes sustainable practices like second-hand sales and eco-friendly purchasing.
One of the key challenges was implementing real-time AI-powered analytics to generate demand predictions and heatmaps within the marketplace. We initially faced difficulties in creating a responsive AI model that accurately predicts demand while being lightweight enough for efficient use within a web platform. To overcome this, we optimized data caching and used a lightweight ML library, which allowed the real-time analytics to run smoothly without causing delays.
Another challenge involved the offline mode feature, ensuring users could access and queue orders without internet connectivity. Implementing an efficient synchronization protocol that automatically updates the queued data once online required careful testing and optimization, which we achieved through several iterations.
Technologies used