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 dateDecember 13, 2023
AuthorGoogle DeepMind
TypeMultimodal 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.

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.

Travely AI - Prosus Track

Travely AI - Prosus Track

The Problem: Traditional travel planning is fragmented and static. People struggle to visualize their itineraries and lack engaging ways to share their travel experiences, often ending up with boring spreadsheets instead of inspiring travel stories. What is Travely: Travely is an AI-powered travel booking and itinerary planning platform that transforms how people plan, visualize, and share their travel experiences. It creates stunning Instagram-style stories and shareable videos from personalized itineraries, making travel planning as exciting as the trip itself. How It's Built: Powered by a sophisticated multi-agent system using Tavily and SerpAPI for real-time data scraping, Groq for lightning-fast agent calls, and Gemini for intelligent planning and tracking. Our agents work collaboratively to research destinations, find accommodations, discover activities, and optimize costs while scraping the latest information from across the web. Each itinerary includes comprehensive booking links, interactive maps, detailed schedules, and smart alternative options. The platform features a self-learning knowledge graph powered by Gemini that continuously updates user preferences and feeds personalized context into every planning session, making each trip better than the last. User Experience: Three intuitive input methods cater to different preferences: multimodal video calls with AI agents (Tavus integration), natural language chatbot conversations, or structured smart forms. The platform excels at cost optimization, finding the best flights, and providing complete booking solutions. Prosus Track: Travely exemplifies agent-powered e-commerce in travel booking, featuring advanced AI integration, multimodal interfaces, voice-first capabilities, and a sophisticated knowledge graph that builds reusable user profiles. This fully functional Innovative itinerary planner demonstrates the future of intelligent travel commerce. Looking to start a startup and meet the Prosus Team.

Blue Red C - Prosus track

Blue Red C - Prosus track

Our idea is to show how purchasing process can be sped up and made easy using AI Agents. A counter part of selling with AI. This approach unveils the world of AI interactive marketplaces, cutting huge portions of internet out by making the first touch to suppliers, figuring out their ability to provide requested goods and services. We - the Blue Red C team have built an MVP of agents system that allows users giving a task to our system via a voice-prompt to find the best supplier of goods and services they need. - The voice prompt is analyzed with Speach-to-Text models on Groq platform. The full transcript is sent to User Profile Knowledge Graph supported by Graphiti and Neo4j, after that a structured summary of the user request is written in DB. - Voice prompt generates a task of internet search for suppliers via SERP API. Phone numbers of suppliers are found and stored in a queue. - Twilio API is utilized to call suppliers and find out availability of requested products and services. - Summary of each call is stored in DB for comparison analysis. - Llama-3-8b-8192 hosted on Groq platform is used for summarizing pros and cons of each supplier to give a suggestion to choose certain supplier. - After user makes the final decision our system calls the chosen supplier and places an order to them. (Not implemented yet) We believe that the problem we chose to help all sized businesses and customers with will always have the room for improvement. The goal - find the best deal on the market.

DisasterRelief AI

DisasterRelief AI

DisasterRelief AI is a real-time, AI-powered platform designed to transform how humanitarian teams respond to natural disasters. Traditional disaster response systems are often delayed, fragmented, and reactive—costing precious time and lives. Our platform solves this by using artificial intelligence to detect crisis zones, assess urgent needs, and coordinate relief operations with unprecedented speed and accuracy. At the heart of DisasterRelief AI is a multi-source data engine that ingests live satellite imagery, geo-tagged social media posts, emergency alerts, and drone footage. Computer vision models (e.g., YOLOv8, UNet) analyze imagery to detect flooded zones, collapsed infrastructure, and fires. NLP models (e.g., BERT, GPT) extract distress signals and supply requests from public posts, enabling localized need detection even in communication-poor areas. This information powers a real-time dashboard that shows dynamic heatmaps, optimized aid routes, inventory status, and task coordination across multiple agencies. The platform also includes a smart logistics planner that generates safe and efficient delivery routes based on road conditions, urgency levels, and available resources. DisasterRelief AI builds a reusable knowledge graph of disaster-prone regions, infrastructure layouts, and response histories—helping organizations plan smarter for future crises. Our system has clear real-world applications: during Cyclone Idai (2019) and the Haiti Earthquake (2021), delays in response were driven by data blind spots. With DisasterRelief AI, responders could have acted faster and more precisely. DisasterRelief AI empowers responders with live intelligence and coordination—bridging the gap between chaos and action.