Google Gemma AI technology Top Builders

Explore the top contributors showcasing the highest number of Google Gemma AI technology app submissions within our community.

Gemma

Gemma is a lightweight, open large language model (LLM) from Google, optimized for efficient AI applications. As part of the Google Gemma family, it uses a transformer-based architecture tailored for responsible and accessible AI usage. Developed as a foundational model, Gemma serves various basic language processing needs, including chatbots, content summarization, and multilingual support.

General
Relese date	February 2024
Author	Google DeepMind in collaboration with Google AI teams
Website	[Google AI Gemma]https://ai.google.dev/gemma
Repository	Google AI Developer Resources
Type	Open-source AI, transformer-based LLM

Key Features

Efficient Deployment: Available in parameter sizes like 2.5B and 7B, Gemma balances capability with efficiency, enabling deployments on both edge devices and cloud infrastructure.
Flexible Tuning Options: Offers pre-trained and instruction-tuned variants, allowing developers to optimize for specific use cases or deploy as-is.
Decoder-Only Transformer Architecture: Uses a streamlined decoder-only design, enabling Gemma 1 to process up to 8192 tokens in one pass for better handling of long-form text.
Safety and Accessibility Tools: Integrates responsible AI features, promoting transparency and safety in AI outputs.

Applications:

Chatbot Development: Optimized for conversational tasks, Gemma provides foundational capabilities for chatbot applications.
Summarization and Paraphrasing: Its pre-trained model structure makes it suitable for summarizing content across languages and contexts.
Multilingual Processing: Supports multilingual inputs, making it adaptable for global applications and translation services.

Get started building with Gemma:

Developers can quickly integrate Gemma into applications by accessing its model weights on Google AI Studio and Kaggle. The model’s lightweight design ensures that it can run efficiently on most hardware configurations, including mobile and edge devices. For optimal performance, utilize frameworks such as Keras or JAX to customize and deploy Gemma for your specific use case. Get started today by exploring the tools and resources available on the Google AI Gemma platform.

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Google Gemma AI technology Hackathon projects

Discover innovative solutions crafted with Google Gemma AI technology, developed by our community members during our engaging hackathons.

Awebo AI

Awebo.AI is your AI product manager, built on Google's Gemini 2, designed to navigate the communication of small to medium primarily-remote companies. We get that things can get lost in translation between teams, and that's where we come in. We're already live on Slack. We have also fine-tuned Gemini 2 model to understand the nuances of your conversations and provide real-time support for product development. Think of it as having a super-smart product manager in your pocket, always ready to offer insights, generate ideas, and keep everyone in the loop. Right now, we're hyped about our upcoming Linear integration, which will streamline your workflow and help you manage projects with insane efficiency. But that's just the beginning. We're constantly pushing the boundaries of what's possible with AI, and we're working on a bunch of other integrations to make Awebo.AI an indispensable part of your product development process. Stay tuned, because things are about to get really interesting.

Navicare AI

Navicare AI is an innovative healthcare application leveraging artificial intelligence to enhance patient journey mapping and address key challenges in the healthcare ecosystem. By focusing on improving communication, efficiency, and patient outcomes, Navicare AI strives to support healthcare professionals in delivering more effective and personalized care. The platform utilizes the Gemma 2 API, which powers it with advanced AI capabilities to analyze and interpret patient data. This facilitates insights into patient needs and creates tailored care pathways that adapt dynamically based on individual circumstances. While the application is not yet fully functional with features like real-time predictive analytics or population health management, it has been designed to lay the groundwork for these capabilities in future iterations. The application’s core focus includes bridging the communication gap between patients and healthcare providers, addressing system inefficiencies, and fostering informed decision-making processes. With an intuitive interface and backend functionalities currently under development, Navicare AI envisions integrating data from wearable devices and hospital systems in the future to ensure a comprehensive and robust approach to patient care. Ultimately, Navicare AI aims to transform healthcare delivery by making it more efficient, patient-centric, and data-driven. Its vision includes scaling to a solution capable of supporting healthcare systems globally in navigating their operational challenges and improving overall outcomes.

EduAI - Democratizing education through AI

ENEM (Exame Nacional do Ensino Médio) is Brazil's National High School Exam - a standardized test used as the primary entrance exam for most Brazilian universities. EduAI addresses a critical gap in Brazil's educational landscape. While private school students often have access to personalized education and extensive practice, public school students face significant barriers in preparing for ENEM in general, specially ENEM's essay component, a crucial element for university admission. Our web platform leverages artificial intelligence to provide instant, detailed feedback on student essays following ENEM's official scoring criteria. Unlike traditional methods that require teacher availability, EduAI offers unlimited practice opportunities and immediate guidance. Students can submit essays 24/7, receiving comprehensive feedback across all five ENEM competencies, detailed suggestions for improvement, and personalized learning paths. The platform democratizes access to quality essay preparation through three key features: 1. Instant essay analysis: Detailed scoring and feedback based on ENEM's official rubric 2. Guided improvement: Specific recommendations highlighting strengths and areas for development By making high-quality essay preparation accessible to all students, regardless of their socioeconomic background, EduAI aims to level the playing field in Brazilian education and increase opportunities for public school students to access higher education.

ShelfCare - Smarter Inventory

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.