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.

Search Engine Powered AI Agent and more

Code: https://github.com/sprites20/Anthroid-AI Using together.ai to host the LLM serverless, Vectara for querying the documents, LLamaIndex for text embeddings (or LLM), and unstructured.io cleaning and translating the HTML or maybe even formatting the prompts. Uses Google Search API or Azure Bing Search service API to query the search engine, returns links, and sends to Vectara for indexing and querying, (perhaps more options in the future). For now, it uses only Vectara but will implement the LLamaindex soon. Shall also use the Meta's Graph API to gather posts, not only from search engines but social media apps like Facebook for the latest news about a topic using its query engine and more content not only from websites but from actual people in real-time. (WIP) It is also capable of choosing, retrieving code, and running code. With a built-in Python interpreter; the exec() function, that can also run other languages via bindings like jnius (Java), Cython/CPython (C/C++), C# DLLs, and whatever binding in the Python library there is. Even OpenGL for 3D rendering for true multimodality, OpenCV for RTSP streaming, image processing, and computer vision, matplotlib for mathematical visualizations, or even a custom web browser like Chrome and Edge that can also run JS evaluate to execute JS code for websites. A cross-platform native app, that in the future should be able to run on most operating systems, not only on PC but also for mobile phones like Android and Ios.

The Juris - For Lawyers

The Juris is the AI-driven legal assistant designed to revolutionize the way lawyers and legal professionals conduct research and tackle cases. Harnessing cutting-edge multimodal AI, The Juris gives you unmatched advantages: Lightning-Fast, Focused Research: Effortlessly search case law, statutes, and legal knowledgebases. The Juris understands complex legal language, pinpointing the most relevant information for your needs. Insightful Analysis: Go beyond mere retrieval. The Juris analyzes case law to identify arguments, precedents, and potential weaknesses – augmenting your own expertise. Drafting Assistance: Need to craft a persuasive brief or memo? The Juris aids in structuring and drafting, suggesting legal arguments supported by AI-identified sources. Multimodal Interaction: Interact with The Juris through text or voice commands for a seamless, intuitive research experience. Experience the future of legal research. The Juris empowers you to work smarter, make informed decisions, and confidently achieve successful outcomes.

ShopGini

The idea is to use Gemini's power of multi-modal power to get a better idea of a product using pictures, text, and documents. Our system will use Gemini AI to analyze product descriptions, and Compare different products and identify the best value proposition. Review product reviews by previous buyers and the repeat purchasing pattern by the same buyer. Recommend superior alternatives based on user preferences and market trends. Allow users to input information about their personality traits for personalized recommendations. Provide an insightful report explaining the reasoning behind each recommendation. Feature a chatbot interface to guide users through the product evaluation process. Product description could be provided through various means like:- URL of the product page, PDF copy of Product Description, Photo of Product itself, A click on the product page through a Chrome Plug-in, or pre-integrated in an e-commerce site, or in a mobile shopping app, where a photo of the product could be taken in real-time

HealthTech 4 Africa

Africa healthcare ecosystem needs to embrace digital and emerging technologies such as Artificial Intelligence to enhance proactive healthcare and preventive public health interventions. Disease Surveillance and Outbreak Prediction: AI algorithms can analyze real-time data from various sources (e.g., social media, medical records, environmental sensors) to detect and predict disease outbreaks earlier and more effectively. This allows for timely interventions, such as targeted vaccinations and resource allocation. 2. Diagnosis and Treatment: AI-powered diagnostic tools can assist healthcare workers in accurately diagnosing diseases, including those with limited access to specialists. AI can also recommend personalized treatment plans based on patient data and medical literature. 3. Drug Discovery and Development: AI can accelerate the process of drug discovery by identifying potential drug candidates and optimizing clinical trial design. This can lead to the development of new and more effective treatments for diseases prevalent in Africa. 4. Health Education and Awareness:

Biology Tutor App - Gemini powered

Introducing our innovative Biology Tutor App, enhanced with cutting-edge AI technology powered by Gemini model. Designed to revolutionize the learning experience, our app offers personalized tutoring sessions tailored to each user's unique learning style and pace. students can ask questions, receive detailed explanations, and engage in interactive discussions on various biological concepts, from cellular biology to ecology. Whether you're a high school student preparing for exams or a university student diving deep into complex biological theories, our Biology Tutor App is your comprehensive learning companion. Experience the future of biology education with us today.

Brainstorm Buddy

AI Brainstorming Buddy This app utilizes Gemini Ultra's creative capabilities to help you brainstorm ideas for various purposes, like writing, business ventures, or even party themes. Here's how it would work: User Input: The user interacts with the app through a chat interface. Idea Topic: The user starts by providing a basic theme or topic for brainstorming. Gemini Ultra Integration: The app utilizes a chatbot interface to connect with Gemini Ultra. The user's provided theme is then relayed to Gemini Ultra. Idea Generation: Gemini Ultra, using its vast knowledge and creative spark, generates a list of related ideas, concepts, or prompts. Chatbot Response: The app receives the list from Gemini Ultra and presents them to the user in a clear and concise way through the chat interface. Iteration: The user can then choose to explore a specific idea further by providing additional details, or request a completely new set of ideas based on a different direction. Benefits: Overcome writer's block: Gemini Ultra can help break through creative roadblocks by suggesting unexpected angles or approaches. Spark new ventures: Brainstorming with AI can lead to innovative business ideas or marketing strategies. Simple and Fun: The app provides a user-friendly way to tap into the power of AI for creative brainstorming. Technical Implementation (using Express JS - node): This is a very basic example, and the actual code will depend on the chosen platform and libraries. Here's a simplified breakdown: API Integration: Utilize libraries to connect to Gemini Ultra's API User Input: The chatbot framework can handle user input through text messages. API Call: When a user provides a theme, the app formulates an API call to Gemini Ultra with that theme. Response Processing: The app receives the list of ideas from Gemini Ultra and translates it into a user-friendly format for the chatbot to display.