ShelfCare GPA is a Gemma2-powered AI agent designed to automate and optimize pharmaceutical inventory management. By integrating advanced decision-making capabilities, real-time insights, and a streamlined interface, the system addresses inefficiencies in inventory tracking, procurement, and expiration management. Key features include: 1. Real-Time Monitoring: Tracks stock levels and alerts users to shortages and near-expiring products. 2. Automated Procurement: Generates purchase orders based on inventory thresholds and predicts future needs using historical trends. 3. Batch Expiration Management: Associates quantities with expiration dates to prevent waste and prioritize usage. 4. On-Demand Summaries: Provides users with clear, actionable insights into inventory status and procurement history. Business Value ShelfCare delivers significant business value by: • Improving Efficiency: Automating manual inventory tasks, freeing up resources for other priorities. • Reducing Waste: Minimizing losses from expired products through expiration tracking and prioritization. • Ensuring Availability: Reducing the risk of critical stock shortages by predicting needs and automating reorders. • Scalability: Built to handle diverse inventory scenarios, making it adaptable to industries beyond healthcare. For pharmacies and similar businesses, ShelfCare GPA not only reduces operational costs but also enhances reliability and customer satisfaction by ensuring products are always available when needed. What It Solves ShelfCare GPA tackles the inefficiencies of traditional inventory management by: 1. Automating Repetitive Tasks: Automates stock tracking and order generation, reducing human error and manual workload. 2. Improving Decision-Making: Uses AI to forecast inventory needs and prioritize replenishment based on critical factors like expiration dates and stock levels.
Category tags:An AI-driven tool that reviews GitHub pull requests in real-time, providing clear and intelligent code feedback using Groq-accelerated LLaMA models and the BLACKBOX.AI Coding Agent.
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Flowrish AI helps students think better, not less. It guides reflection instead of giving answers—strengthening minds, not replacing them. Offline-first on Snapdragon X Elite, with LLaMA 3 locally and Groq online. Because learning should grow you.
42AI Qualcomm Track
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Illuminative Lab - Qualcomm Track
An AI-driven tool that reviews GitHub pull requests in real-time, providing clear and intelligent code feedback using Groq-accelerated LLaMA models and the BLACKBOX.AI Coding Agent.
innoventors-blackbox-track
Flowrish AI helps students think better, not less. It guides reflection instead of giving answers—strengthening minds, not replacing them. Offline-first on Snapdragon X Elite, with LLaMA 3 locally and Groq online. Because learning should grow you.
42AI Qualcomm Track
Amagi is a proactive AI assistant that sees your screen, listens, remembers, and helps you stay focused—designed to run across devices with real-time context awareness
The Monad (AI-Smith Protocol) -Vultr Track
An AI-powered shopping assistant built with FastAPI, Groq API (LLaMA models), and Neo4j knowledge graph for personalized e-commerce experiences
Hackcelerate - Prosus Track
A privacy-focused toolkit for real-time screen OCR and audio transcription on any PC, combining universal image text extraction, audio-to-text, and fast local semantic search—powered by Edge AI and Groq API.
Illuminative Lab - Qualcomm Track