Google Chirp AI technology Top Builders

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

Google AI's Chirp: Cutting-Edge Speech-to-Text Technology

Chirp represents the latest breakthrough in speech-to-text processing, developed by Google AI and integrated into Google Cloud's Speech API. This revolutionary model boasts 2 billion parameters and leverages self-supervised learning from millions of hours of audio and 28 billion text sentences across more than 100 languages. Chirp achieves a remarkable 98% speech recognition accuracy in English and a 300% relative improvement in several languages spoken by less than 10 million people.

General
Release date	2023
Author	Google AI
Type	Speech-to-Text

Standout Capabilities

Broad Language Support: Chirp caters to over 100 languages, ensuring top-notch speech recognition for a wide array of languages and accents.
Unparalleled Accuracy: With 98% speech recognition accuracy in English and notable enhancements in other languages, Chirp sets a new industry standard.
Massive Model Size: Chirp's 2-billion-parameter model outpaces previous speech models to deliver superior performance.
Innovative Training Approach: Chirp's encoder is initially trained with an enormous amount of unsupervised (unlabeled) audio data from 100+ languages, followed by fine-tuning for transcription in each specific language using smaller supervised datasets.

Start Building with Chirp

We have collected the best Chirp libraries and resources to help you get started and build state-of-the-art speech-to-text applications.

Chirp Libraries

A curated list of libraries and technologies to help you build great projects with Chirp.

Client Libraries

Chirp Boilerplates

Kickstart your development with a Chirp based boilerplate. Boilerplates is a great way to headstart when building your next project with Chirp.

Quickstart

Edit on Github

Google Chirp AI technology Hackathon projects

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

NetConnect

Public Sector Network Connectivity Analyzer The Public Sector Network Connectivity Analyzer is a comprehensive solution designed to address the critical need for reliable network monitoring across public institutions. Our application serves as an essential tool for IT administrators managing connectivity infrastructure for schools, healthcare facilities, government offices, libraries, and other public service organizations. Core Capabilities Real-Time Network Visualization Interactive diagrams and topology maps provide clear visibility into how public institutions are connected, displaying network elements, connection points, and infrastructure components with intuitive visualization tools. Performance Monitoring System Our platform continuously tracks vital network metrics including uptime percentages, latency measurements, bandwidth utilization, and connection status across the entire public sector network, enabling proactive management. Advanced Simulation Engine IT professionals can run comprehensive simulations to test network resilience under various scenarios such as increased user loads, infrastructure failures, or cyber incidents, helping identify vulnerabilities before they impact critical services. Institution Management Portal Administrators can efficiently manage information about connected institutions, monitor their connection status in real-time, and access detailed performance metrics through a unified dashboard interface. Geographic Mapping Integration Our system incorporates geographic visualization capabilities to display the physical distribution of institutions and network infrastructure across regions, facilitating better resource allocation and planning. Technical Implementation This solution addresses the unique challenges faced by public sector organizations that require reliable connectivity for delivering essential services to communities, while providing the tools needed to ensure network resilience, performance, and security.

SupplyGenius Pro

Core Features 1. Document Processing & Analysis - Automated analysis of supply chain documents - Extraction of key information (parties, dates, terms) - Compliance status verification - Confidence scoring for extracted data 2. Demand Forecasting & Planning - AI-powered demand prediction - Time series analysis with confidence intervals - Seasonal pattern recognition - Multi-model ensemble forecasting (LSTM, Random Forest) 3.Inventory Optimization - Real-time inventory level monitoring - Dynamic reorder point calculation - Holding cost optimization - Stockout risk prevention 4. Risk Management - Supply chain disruption simulation - Real-time risk monitoring - Automated mitigation strategy generation - Risk score calculation 5. Supplier Management - Supplier performance tracking - Lead time optimization - Pricing analysis - Automated purchase order generation 6. Financial Analytics - ROI calculation - Cost optimization analysis - Financial impact assessment - Budget forecasting 7. Real-time Monitoring - Live metrics dashboard - WebSocket-based alerts - Performance monitoring - System health tracking 8. Security Features - JWT-based authentication - Role-based access control - Rate limiting - Secure API endpoints -- Technical Capabilities 1. AI Integration - IBM Granite 13B model integration - RAG (Retrieval Augmented Generation) - Custom AI toolchains - Machine learning pipelines 2. Data Processing - Real-time data processing - Time series analysis - Statistical modeling - Data visualization 3. Performance Optimization - Redis caching - Async operations - Rate limiting - Load balancing 4. Monitoring & Logging - Prometheus metrics - Detailed logging - Performance tracking - Error handling

Llama Proxy

We propose using the LLaMA 3.1:1B model as a local proxy server to manage caches with JSON responses. Here's how the llama model can help us do just that: Query analysis and optimization Smart data management in the cache Optimization of communication with API Create intelligent cache management policies. Enrich responses and adding a layer of security and privacy to the application. Understand user behavior and tailor data to their needs. We can also approach the problem using the cloud model, when we do not have enough RAM to be able to run llama 3.1:1B. We can then send queries from time to time to the server, which would decide on the cache hierarchy, which would be the most important, and which items would already have a deletion time.

Better Dads

Better Dads, the comprehensive GPT designed to support and empower fathers on their journey to becoming better in every aspect of their lives. We recognize that being a great dad goes beyond just providing for your family; it's about nurturing strong relationships, fostering emotional well-being, and leaving a lasting, positive impact on your loved ones. Our Core Focus Areas: 1. Cognitive Behavioral Therapy (CBT): Your mind is a powerful tool. Better Dads integrates CBT principles to help you manage stress, anxiety, and the challenges that life throws your way. 2. Healthy Diet: A nutritious diet is the foundation of a healthy lifestyle. Our platform offers personalized dietary recommendations, meal plans, and recipes to keep you and your family on the path to wellness. 3. Exercise Regimen: Physical activity is vital for both your physical and mental health. Better Dads offers tailored exercise routines that fit your fitness level and preferences, ensuring you stay fit, energized, and ready to tackle daily challenges. 4. Social Connections: We believe in the importance of meaningful social interactions. Connect with a supportive community of like-minded fathers, share experiences, and gain insights to enhance your relationships and support network. 5. Being Attentive and Present: Parenthood is a journey, and being present in every moment is crucial. Our platform provides mindfulness practices and parenting tips to help you create lasting memories and deep connections with your children. 6. Substance-Free Lifestyle: We understand the significance of a substance-free life for a healthy family environment. Better Dads offers resources, guidance, and support to help you overcome challenges related to alcohol or drug use. 7. Family-Centric Approach: family is at the heart of everything we do. We provide guidance on building strong family bonds, effective communication strategies, and practical advice for creating a loving and supportive home.

Service AI

This project is an automated phone system that converts incoming voice calls into text and passes the transcribed message to an AI language model. The language model, or LLM, is connected to a vector database that contains information about a specific product. The LLM is powered by LangChain, a framework for developing applications powered by language models. LangChain connects the LLM to the vector database and allows it to interact with its environment. When a customer calls, their voice is transcribed into text in real-time and fed into the LLM. The LLM processes the text, retrieves relevant information about the product from the vector database, and generates a response using LangChain. This response is then converted back into speech by using AI Eleven labs api and played to the customer over the phone. This system allows for efficient and accurate handling of customer inquiries without the need for human intervention.

ErMyth

Ermyth is an AI-driven system which listens to your stories. As you speak, Ermyth will generate visuals fitting the events you describe. In doing so, it immerses the user into an interactive narration. In the background, an Emotion Recognition System monitors the user’s affective state. This enables the system to provide coaching aimed to improve the resilience and feelings of safety of the user. The project we aim to build consists of a system which listens to the user and generates images fitting the story the user is narrating. Additionally, automatic emotion recognition (AER) is performed in the background. The AI model (PaLM) is tasked with interacting with the user when needed. The interactions are aimed to contribute to the user’s feelings of safety, while they face topics of different type. To do so, the AI will play the role of a character within the story, who helps the user to face problematic topics by inviting them to reflect and optionally relax when AER reaches sufficiently negative valence. Conversely, image generation will be mitigating the influence of negative emotions on visuals, while enhancing positive emotions. This is meant to create a positive feedback loop, which aims to boost resilience, emotional awareness and psychological safety.