
CheapestBuy.AI β AI-Powered Smart Grocery Finder π¨ 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 theyβre truly getting the best deal. This leads to overspending, decision fatigue, and frustration β especially for budget-conscious households. π‘ Solution CheapestBuy.AI solves this with an AI-powered grocery shopping assistant that: π Searches & Compares prices, delivery times, and availability across multiple platforms. π€ Uses multi-agent workflows to analyze results and recommend the top 3 cheapest & highest-rated options instantly. π¬ Performs sentiment analysis on reviews to filter low-quality products. π Offers voice search powered by Mistral AI for hands-free shopping. π₯οΈ Provides a clean, beginner-friendly Streamlit UI with filters & price history. πͺΈ Is securely registered on Coral Protocol MCP, making it embeddable as a widget for supermarkets, e-commerce stores, or delivery apps. π³ Includes a Solana Pay demo checkout, showcasing future-ready blockchain payment integration. π 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

In Africa, counterfeit medicines are a critical health crisis. Many patients unknowingly consume fake drugs, leading to failed treatments, worsening conditions, and even death. There is an urgent need for accessible, low-cost tools to verify medicine authenticity. Medical Patrol is an AI-powered web application designed to help communities quickly detect counterfeit drugs and receive medical guidance. Users simply upload a photo of a medicine's label. The app uses OCR (Optical Character Recognition) to extract text, which is then analyzed by LLaMA-3 (via Groq) to determine if the medicine may be counterfeit. If detected, the app sends email alerts to concerned authorities and automatically generates a case report using an autonomous agent. A unique feature of Medical Patrol is its voice-enabled AI chatbot. Users can speak directly to the assistant to get answers to medicine-related queries. Speech is transcribed using Groqβs Whisper (speech-to-text) model and processed by LLaMA-3 for intelligent replies. Most importantly, the chatbot uses MCP (Model Context Protocol) to remember previous messages, making conversations feel consistent and personalizedβcrucial for users needing ongoing support or clarifications. Medical Patrol is built for impact, especially in regions with limited healthcare access, low literacy rates, and high medicine fraud cases. β Key Features π· Medicine text analysis using OCR π€ LLaMA-3 AI for authenticity checks π§ Voice chatbot with MCP context memory π€ Whisper (Groq) for speech input π§ Email alerts and case logging for authorities π Designed for use in Africa and other underserved regions
8 Jul 2025