Google Gemini AI AI technology Top Builders

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

Gemini AI

Gemini AI represents a groundbreaking achievement in the field of artificial intelligence, developed by Google DeepMind. It's a model that epitomizes the blend of multimodality and efficiency, designed to work seamlessly across various platforms, from data centers to mobile devices.

General
Relese date	December 13, 2023
Author	Google DeepMind
Type	Multimodal AI model

Introducing Gemini AI

Demis Hassabis, CEO and Co-Founder of Google DeepMind, introduces Gemini AI as the culmination of a lifelong passion for AI and neuroscience. Gemini AI aims to create intuitive, multimodal AI models, extending beyond traditional smart software to a more holistic, assistant-like experience.

Key Highlights of Gemini AI:

Multimodal Capabilities: Gemini AI is designed to understand and process various types of information, including text, code, audio, image, and video.
Flexibility: Efficient across platforms, from data centers to mobile devices.
Optimized Versions: Gemini Ultra, Pro, and Nano, each tailored for specific requirements.
Advanced Performance: Leading performance in various benchmarks, surpassing human expertise in some areas.
Next-Generation Capabilities: Natively multimodal, trained across different modalities for superior performance.
Advanced Coding: Capable of understanding and generating high-quality code in multiple programming languages.

Gemini AI and Google's Ecosystem:

Enhanced with Google's Infrastructure: Utilizes Google’s Tensor Processing Units (TPUs) for optimized performance.
Integration Across Products: From Google Bard to Pixel 8 Pro, Gemini AI is being rolled out in a variety of Google products.

Responsibility and Safety:

Comprehensive Safety Evaluations: Rigorous testing for bias, toxicity, and other potential risks.
Collaborative Development: Engagement with external experts and adherence to Google's AI Principles

Availability and Access:

Gemini API: Accessible via Google AI Studio or Google Cloud Vertex AI starting December 13.
AICore for Android Developers: Build with Gemini Nano on Android 14, starting with Pixel 8 Pro devices.

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Google Gemini AI AI technology Hackathon projects

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

Kūpuna Care

Each year, over 55 million people worldwide struggle with cognitive decline, emotional distress, and physical inactivity caused by progressive neurodegeneration. Dementia solutions like memory care, medications, and cognitive therapies offer symptom management but often lack accessibility, affordability, and holistic personalization. These gaps leave many without adequate support for their social, emotional, and physical needs. Our solution combines mind-body exercises like tai chi and yoga with therapeutic music to help people with dementia stay active and improve mood. These low-cost, adaptable routines work for all mobility levels and can be personalized to enhance care. With the potential to serve millions globally, we are seeking partnerships for pilot trials and collaboration with experts to create tailored routines. Interested parties can contact don@aptimize.ai to get involved.

HealthRanger

There is a massive medical crisis going on in parts of India, Africa, South America and SE Asia, especially in the rural areas. The doctor to patient ratio is so alarmingly low that doctors cannot fulfil their duties with utmost care and efficacy. Moreover rural folks are usually less tech savvy and educationally backward, leading to them not fully following doctor's advice or doing regular checkups. Which is why CHWs exist. While their work is commendable globally, they have their own special problems. Lack of formal medical education, digital tooling and poor ratios have also led to them not being deployed super effectively. And hence HealthRanger exists. HealthRanger augments CHWs with better tools for more effective medical surveys and referrals, automated follow-up tools and AI powered case management software at their tooltips. HealthRanger offers some of the following cutting-edge features at the disposal of CHWs: - Periodic surveys by CHWs of any skill level; powering them with AI powered up-to-date medical knowledge base - Augments survey questions with real time intelligence using AI transcription and AI powered suggestions/alerts/reminders/follow-up questions generation - Helps with case management; reduces error due to manual scribing using AI scribe - Creates real time alerts to inform other CHWs/health ministry with updates on outbreaks - Automated follow-ups/reminders for patients via Twilio and AI powered phone calls

Health chat bot

The Healthcare Chatbot is an innovative and practical conversational AI tool designed to assist users with basic healthcare-related inquiries. Created as an educational project, this chatbot provides beginner coders with a way to explore the power of AI while offering practical applications in healthcare communication. It functions by responding to user input on common health topics, delivering tailored advice based on predefined responses. At its core, the Healthcare Chatbot is designed to simulate a simple consultation process. Users can type queries about symptoms like fever, headache, cold, or stomach ache, and the chatbot provides helpful suggestions, such as staying hydrated, resting, and seeking medical advice when necessary. It also includes essential features, such as responding to emergency-related inputs with reminders to contact emergency services immediately. This functionality highlights the importance of promoting safety and responsible healthcare practices. One of the standout aspects of this project is its accessibility. The chatbot is implemented in Python, a beginner-friendly programming language, and requires no advanced AI or machine learning experience. The use of straightforward programming concepts, such as dictionaries for responses and string matching for user queries, makes it an excellent starting point for those new to coding and conversational AI. From an educational perspective, the Healthcare Chatbot introduces users to key concepts in developing conversational interfaces. It teaches how to handle user input, match keywords or phrases, and generate contextually appropriate responses. These foundational skills are valuable for understanding more advanced applications of AI, such as natural language processing and machine learning.

Hawaii Health Risk Assessment System

The Hawaii Health Risk Assessment System is an AI-powered healthcare solution designed to assess individual health risks, focusing on cardiovascular, metabolic, and infectious diseases while ensuring health equity across diverse populations. By using a generative AI model, this system generates detailed risk reports based on user-provided information, facilitates appointment scheduling, and offers data-driven insights for public health administrators. The project aligns with the innovation criteria of Population Health, Public Health and Patient Safety, and Clinical Research, aiming to reduce healthcare disparities and promote preventative care. Flowchart of the System: User Input: Users provide their personal and health-related information via a form. Form Submission: Data entered by the user is submitted to the backend. Generative AI Model Processing · The system processes the submitted data using a generative AI model. · Outputs a Health Risk Assessment Report. Health Risk Report Evaluation Two outcomes: · No Risk Detected: Display health tips and lifestyle recommendations to the user. · Risk Detected: Navigate to the Health Risk Status Panel. Health Risk Status Panel: · Displays the risk detected. · Includes a Book Appointment button. Book Appointment Workflow: User clicks Book Appointment, opening the Appointment Booking Panel. Features: · Dropdown to select hospital. · Calendar to choose date and time. · Health risk status is auto-filled and displayed. Data Storage: User responses and health reports are saved in: · SQLite Database: For structured storage and analysis. · .json File: For backup and interoperability. Admin Dashboard: Connects to the SQLite database and JSON files. Provides: · City/state health trend visualizations. · Patient-level insights. · Data for clinical research and public health policy-making. This project aims to bring fair healthcare to everyone, connect remote communities with providers, and guide better health decisions.

BYTE-Pocket Nutritionist

BYTE is an innovative mobile app that acts as your pocket-sized nutritionist, empowering individuals to make informed dietary choices. Using cutting-edge AI models and Google Cloud technologies, BYTE helps users understand their food options and manage their health more effectively The app features a powerful image recognition tool that allows users to scan food labels and get detailed nutritional breakdowns in real-time. BYTE’s AI-powered chatbot provides personalized advice based on each user’s unique health profile, dietary restrictions, and preferences. With multilingual support, BYTE offers guidance in multiple languages, making it accessible to users worldwide. BYTE also fosters a vibrant community, enabling users to connect, share experiences, and support each other on their health journeys. The app ensures data privacy by securely storing personal information, allowing users to maintain control over their health data. Whether you're looking for healthier food alternatives, need advice on managing dietary restrictions, or want a simple platform to track your nutrition, BYTE provides a comprehensive, easy-to-use solution. By combining AI, cloud technology, and a user-centered design, BYTE empowers individuals to make healthier choices and live a more informed lifestyle.

AIdocure

ReportEase with AI Agent is an innovative AI-powered tool designed to revolutionize the medical report analysis process. By automating the interpretation of medical test reports, it saves healthcare professionals valuable time while improving diagnostic accuracy. The system leverages advanced machine learning algorithms to analyze a wide range of medical test results, identifying patterns and key indicators that suggest potential health conditions. A standout feature is the built-in AI agent, which allows healthcare professionals to interact with the system through natural language queries. This agent, powered by Gemini AI, offers explanations of medical terms, assists in understanding diagnoses, and provides real-time answers to questions, making it a powerful tool for efficient medical decision-making. ReportEase is designed to be highly user-friendly, with intuitive dashboards that provide clear visual summaries of diagnostic data. The tool is particularly useful in busy hospital environments, diagnostic centers, and rural healthcare settings, where it can quickly process large volumes of medical reports and provide initial assessments. However, while the tool is highly accurate, it is essential for healthcare professionals to verify AI-generated findings for confirmation. Additionally, the AI system continues to evolve, learning from new interactions and feedback to enhance its analysis capabilities over time. This continual learning ensures that ReportEase remains at the forefront of AI-driven healthcare innovation, offering increasingly accurate and insightful medical report analysis.