CheapestBuy.AI – AI-Powered Smart Grocery Finder 🚨 Problem Grocery shoppers often waste time manually comparing prices across multiple stores (Carrefour, Metro, Imtiaz, Daraz, etc.). Price fluctuations, hidden delivery costs, and unreliable reviews make it difficult to know if they’re truly getting the best deal. This leads to overspending, decision fatigue, and frustration — especially for budget-conscious households. 💡 Solution CheapestBuy.AI solves this with an AI-powered grocery shopping assistant that: 🔎 Searches & Compares prices, delivery times, and availability across multiple platforms. 🤖 Uses multi-agent workflows to analyze results and recommend the top 3 cheapest & highest-rated options instantly. 💬 Performs sentiment analysis on reviews to filter low-quality products. 🔉 Offers voice search powered by Mistral AI for hands-free shopping. 🖥️ Provides a clean, beginner-friendly Streamlit UI with filters & price history. 🪸 Is securely registered on Coral Protocol MCP, making it embeddable as a widget for supermarkets, e-commerce stores, or delivery apps. 💳 Includes a Solana Pay demo checkout, showcasing future-ready blockchain payment integration. 🌍 Impact CheapestBuy.AI empowers users to save money and time by getting the best prices with just one search. For businesses, it offers a scalable, embeddable solution that improves customer satisfaction and engagement. By combining AI, secure registry, and future-proof payments, CheapestBuy.AI sets the standard for the next generation of smart, automated grocery shopping experiences.
21 Sep 2025
This groundbreaking technology combines several cutting-edge features to provide reliable internet access and educational opportunities to underserved communities. • Self-Expanding Mesh Network: Utilizing AI-driven nodes, the mesh network adapts and grows organically to meet the community's needs. • Zero-Signal Communication: Even in areas with no mobile network coverage, Lace enables access to offline educational resources. When a user generates information or submits queries while offline, the system employs local storage to retain this data. As soon as the device reconnects to the network, it automatically begins uploading the stored data. When a device on the mesh network requires internet access, it can route its requests through other connected devices in the network that do have an internet connection. This peer-to-peer approach allows for the sharing of internet resources across the entire mesh • AI-Optimized Bandwidth: The system prioritizes learning-related data over unnecessary usage, maximizing connectivity for students and optimizing the available bandwidth. Affordable Internet via Local Hubs: Schools serve as community data centers, allowing students to download lectures and coursework efficiently. • Energy Efficient & Disaster-Resilient: The mesh network remains operational in remote or disaster-prone areas, providing uninterrupted access to resources. This comprehensive solution has the potential to revolutionize education in rural areas by making quality learning materials accessible to millions of students who currently lack internet access. By combining advanced AI algorithms, mesh networking, and zero-signal communication, Lace creates a robust and adaptable system that can overcome the challenges of connectivity in even the most remote locations.
2 Mar 2025
Many schools in remote and underserved regions experience high latency due to distant servers and limited bandwidth capacity, which disrupts digital learning. Our solution applies clustering algorithms (K-Means, DBSCAN) to 2.3 million school geolocations, pinpointing where data centers can most effectively serve 90% of educational content while minimizing latency. Leveraging open-source AI tools (Scikit-learn, Streamlit) and real-time connectivity data from Giga, our approach provides actionable insights for governments, NGOs, and internet service providers. In a user-friendly dashboard, stakeholders can visualize schools’ connectivity issues, compare bandwidth savings across regions, and analyze predicted performance boosts from new data centers. We plan to expand our model globally, ensuring accessible, high-quality internet connections for all schools—and ultimately bridging the educational digital divide.
26 Jan 2025
