Best AI tools for< Mobile Deployment >

Resinq is an AI-powered chatbot solution that offers intelligent chatbot solutions for websites and mobile apps. It simplifies the creation, integration, and management of chatbots, enabling businesses to enhance customer interactions effortlessly. From 24/7 customer support to capturing leads and scheduling appointments, Resinq's bots engage users in real-time, providing a seamless and versatile chatbot experience. The platform supports advanced text-to-speech (TTS) and speech-to-text (STT) features, making chatbot interactions natural and lifelike. Resinq aims to address the challenges faced by businesses in creating and managing chatbots by providing an all-in-one solution for chatbot deployment and management.

CodeConductor is a no-code AI software development platform that empowers users to build scalable, high-quality applications without the need for extensive coding. The platform streamlines the app development process, allowing users to focus on innovation and customization. With features like accelerated app development, complete customization control, intelligent feature suggestions, dynamic data modeling, and seamless CI/CD & auto-scaled hosting, CodeConductor offers a user-friendly and efficient solution for creating web and mobile applications. The platform also provides enterprise-grade security, robust deployment options, and transparent code history tracking.

Replit is a software creation platform that provides an integrated development environment (IDE), artificial intelligence (AI) assistance, and deployment services. It allows users to build, test, and deploy software projects directly from their browser, without the need for local setup or configuration. Replit offers real-time collaboration, code generation, debugging, and autocompletion features powered by AI. It supports multiple programming languages and frameworks, making it suitable for a wide range of development projects.

Amazon Bedrock is a cloud-based platform that enables developers to build, deploy, and manage serverless applications. It provides a fully managed environment that takes care of the infrastructure and operations, so developers can focus on writing code. Bedrock also offers a variety of tools and services to help developers build and deploy their applications, including a code editor, a debugger, and a deployment pipeline.

Vairflow is an AI-driven Integrated Development Environment (IDE) that empowers developers to build faster and more efficiently. It simplifies complex ideas into components, allowing seamless development and deployment of backend microservices, web UI, and mobile app UI. With upcoming AI features like code generation, completion, and explanation, Vairflow aims to enhance productivity and streamline the development process. The platform also offers flexible deployment options, cost-effective usage, and seamless collaboration, ensuring no vendor lock-in and easy context switching between projects and environments.

Digital.ai is an AI-powered DevOps platform that helps organizations automate software releases, improve mobile application testing and security, and provide insights across the software lifecycle. The platform includes a suite of products that can be used to manage the complexities of software delivery, including analytics and intelligence, enterprise agile planning, application protection and security, continuous testing, release orchestration, and deployment automation.

Caffe is a deep learning framework developed by Berkeley AI Research (BAIR) and community contributors. It is designed for speed, modularity, and expressiveness, allowing users to define models and optimization through configuration without hard-coding. Caffe supports both CPU and GPU training, making it suitable for research experiments and industry deployment. The framework is extensible, actively developed, and tracks the state-of-the-art in code and models. Caffe is widely used in academic research, startup prototypes, and large-scale industrial applications in vision, speech, and multimedia.

Qualcomm AI Hub is a platform that allows users to run AI models on Snapdragon® 8 Elite devices. It provides a collaborative ecosystem for model makers, cloud providers, runtime, and SDK partners to deploy on-device AI solutions quickly and efficiently. Users can bring their own models, optimize for deployment, and access a variety of AI services and resources. The platform caters to various industries such as mobile, automotive, and IoT, offering a range of models and services for edge computing.

Cambridge Mobile Telematics (CMT) is the world's largest telematics service provider, dedicated to making roads and drivers safer. Their AI-driven platform, DriveWell Fusion®, utilizes sensor data from various IoT devices to analyze and improve vehicle and driver behavior. CMT collaborates with auto insurers, automakers, gig companies, and the public sector to enhance risk assessment, safety, claims, and driver improvement programs. With headquarters in Cambridge, MA, and global offices, CMT protects millions of drivers worldwide daily.

Attune Health Mobile App is an AI-enabled application that offers contactless measurement of vital signs using video-based technology. Users can easily track and monitor their blood pressure, oxygen saturation, HRV, stress levels, and Hemoglobin through a simple face scan. The app provides accurate real-time measurements, empowering individuals to take control of their health and wellness. It also offers gender-specific results, privacy protection, and family value by allowing biomarker measurements for the whole family. Attune Health is a comprehensive solution for individuals and corporations seeking to improve health outcomes and productivity.

MobileGPT is a WhatsApp application that integrates the advanced capabilities of the GPT-4 engine to provide users with a personal AI assistant directly on their mobile devices. MobileGPT offers seamless AI conversations similar to ChatGPT, AI-generated images, AI-crafted documents in Word format, and advanced language translations. By bringing these powerful AI features to WhatsApp, MobileGPT aims to transform the way users communicate, create, and collaborate on-the-go, enhancing their overall messaging experience.

The website is dedicated to showcasing and selling the G-Series lenses and accessories, designed to enhance mobile photography, particularly for iPhone and Samsung users. The G-Series Collection offers a range of lenses, filters, and bundles to elevate the quality of smartphone photography. Additionally, the site features iOS camera apps developed by the company, such as Reeflex Pro Camera, ReeXpose for RAW long exposure, ReeHeld for handheld long exposure, and ReeLapse for pro time-lapse videos. The platform also provides tutorials, FAQs, and a blog to support and educate users in mobile content creation.

Kobiton is a mobile device testing platform that accelerates app delivery, improves productivity, and maximizes mobile app impact. It offers a comprehensive suite of features for real-device testing, visual testing, performance testing, accessibility testing, and more. With AI-augmented testing and no-code validations, Kobiton helps enterprises streamline continuous delivery of mobile apps. The platform provides secure and scalable device lab management, mobile device cloud, and integration with DevOps toolchain for enhanced productivity and efficiency.

Gamelight is a revolutionary AI platform for mobile games marketing. It utilizes advanced algorithms to analyze app usage data and users' behavior, creating detailed user profiles and delivering personalized game recommendations. The platform also features a loyalty program that rewards users with points for gameplay duration, fostering engagement and retention. Gamelight's ROAS Algorithm identifies users with the highest likelihood of making a purchase on your game, providing exclusive access to valuable data points for effective user acquisition.

Mobot is an AI-powered platform that offers end-to-end mobile automation solutions. It utilizes AI-driven mechanical robots to automate critical aspects of the mobile ecosystem, enabling faster releases, fewer issues, and significant time and cost savings for engineering, product, and growth teams. Mobot provides managed and self-service mobile testing for engineering and marketing purposes, mobile campaign monitoring, integrations with favorite apps, and supports various use cases. The platform caters to different teams such as engineering, QA, product, marketing, and support, helping them achieve 100% testing coverage and streamline their workflows.

Bryj is an AI-driven, end-to-end mobile app solutions provider that offers high-performing mobile app development customized for unique business goals. With the Bryj.AI Platform, users can design, develop, and deliver apps 5x faster than traditional agency-led development. The platform provides security, monitoring, privacy compliance, and regular upgrades to ensure peak performance and user satisfaction. Bryj also offers engagement tools, analytics, integrations, and strategic services to drive ROI and continuous innovation.

Dr.Fone is a comprehensive mobile solution that offers a wide range of features for managing, recovering, transferring, and repairing data on iOS and Android devices. It includes tools for unlocking screens, recovering lost data, transferring files, repairing system issues, and more. Dr.Fone is designed to be user-friendly and provides a one-stop solution for all your mobile device needs.

Testim is an AI-powered UI and functional testing platform that helps accelerate test authoring, reduce test maintenance, and release higher-quality apps faster. It offers a range of features such as fast authoring speed, test stability, root cause analysis, and TestOps, making it an efficient and effective solution for product development teams.

Irmo is an AI-powered app that allows users to create images from text or other images. It is similar to other AI art generators like Dall-E and Midjourney. With Irmo, users can create unlimited images for various purposes, such as creating NFTs or stock images for sale online.

Foodzilla is a meal planning and nutrition coaching software designed for professionals. It offers a range of features to help nutritionists, dietitians, and other healthcare professionals create personalized meal plans for their clients, track their progress, and provide ongoing support. Foodzilla's key features include a recipe builder, meal planner, mobile app for clients, secure messaging, nutrition reports, team collaboration, and grocery lists. The software is designed to be user-friendly and efficient, allowing professionals to save time and focus on providing high-quality care to their clients.

AutoGPTQ is an easy-to-use LLM quantization package with user-friendly APIs, based on GPTQ algorithm (weight-only quantization). It provides a simple and efficient way to quantize large language models (LLMs) to reduce their size and computational cost while maintaining their performance. AutoGPTQ supports a wide range of LLM models, including GPT-2, GPT-J, OPT, and BLOOM. It also supports various evaluation tasks, such as language modeling, sequence classification, and text summarization. With AutoGPTQ, users can easily quantize their LLM models and deploy them on resource-constrained devices, such as mobile phones and embedded systems.

Awesome Mobile LLMs is a curated list of Large Language Models (LLMs) and related studies focused on mobile and embedded hardware. The repository includes information on various LLM models, deployment frameworks, benchmarking efforts, applications, multimodal LLMs, surveys on efficient LLMs, training LLMs on device, mobile-related use-cases, industry announcements, and related repositories. It aims to be a valuable resource for researchers, engineers, and practitioners interested in mobile LLMs.

MiniCPM-V is a series of end-side multimodal LLMs designed for vision-language understanding. The models take image and text inputs to provide high-quality text outputs. The series includes models like MiniCPM-Llama3-V 2.5 with 8B parameters surpassing proprietary models, and MiniCPM-V 2.0, a lighter model with 2B parameters. The models support over 30 languages, efficient deployment on end-side devices, and have strong OCR capabilities. They achieve state-of-the-art performance on various benchmarks and prevent hallucinations in text generation. The models can process high-resolution images efficiently and support multilingual capabilities.

ExecuTorch is an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices including wearables, embedded devices and microcontrollers. It is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices. Key value propositions of ExecuTorch are: * **Portability:** Compatibility with a wide variety of computing platforms, from high-end mobile phones to highly constrained embedded systems and microcontrollers. * **Productivity:** Enabling developers to use the same toolchains and SDK from PyTorch model authoring and conversion, to debugging and deployment to a wide variety of platforms. * **Performance:** Providing end users with a seamless and high-performance experience due to a lightweight runtime and utilizing full hardware capabilities such as CPUs, NPUs, and DSPs.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

AI Edge Torch is a Python library that supports converting PyTorch models into a .tflite format for on-device applications on Android, iOS, and IoT devices. It offers broad CPU coverage with initial GPU and NPU support, closely integrating with PyTorch and providing good coverage of Core ATen operators. The library includes a PyTorch converter for model conversion and a Generative API for authoring mobile-optimized PyTorch Transformer models, enabling easy deployment of Large Language Models (LLMs) on mobile devices.

MNN-LLM is a high-performance inference engine for large language models (LLMs) on mobile and embedded devices. It provides optimized implementations of popular LLM models, such as ChatGPT, BLOOM, and GPT-3, enabling developers to easily integrate these models into their applications. MNN-LLM is designed to be efficient and lightweight, making it suitable for resource-constrained devices. It supports various deployment options, including mobile apps, web applications, and embedded systems. With MNN-LLM, developers can leverage the power of LLMs to enhance their applications with natural language processing capabilities, such as text generation, question answering, and dialogue generation.

botgroup.chat is a multi-person AI chat application based on React and Cloudflare Pages for free one-click deployment. It supports multiple AI roles participating in conversations simultaneously, providing an interactive experience similar to group chat. The application features real-time streaming responses, customizable AI roles and personalities, group management functionality, AI role mute function, Markdown format support, mathematical formula display with KaTeX, aesthetically pleasing UI design, and responsive design for mobile devices.

The ChatBotKit Node SDK is a JavaScript-based platform for building conversational AI bots and agents. It offers easy setup, serverless compatibility, modern framework support, customizability, and multi-platform deployment. With capabilities like multi-modal and multi-language support, conversation management, chat history review, custom datasets, and various integrations, this SDK enables users to create advanced chatbots for websites, mobile apps, and messaging platforms.

aiaio (AI-AI-O) is a lightweight, privacy-focused web UI for interacting with AI models. It supports both local and remote LLM deployments through OpenAI-compatible APIs. The tool provides features such as dark/light mode support, local SQLite database for conversation storage, file upload and processing, configurable model parameters through UI, privacy-focused design, responsive design for mobile/desktop, syntax highlighting for code blocks, real-time conversation updates, automatic conversation summarization, customizable system prompts, WebSocket support for real-time updates, Docker support for deployment, multiple API endpoint support, and multiple system prompt support. Users can configure model parameters and API settings through the UI, handle file uploads, manage conversations, and use keyboard shortcuts for efficient interaction. The tool uses SQLite for storage with tables for conversations, messages, attachments, and settings. Contributions to the project are welcome under the Apache License 2.0.

Whisper is an open-source library by Open AI that converts/extracts text from audio. It is a cross-platform tool that supports real-time transcription of various types of audio/video without manual conversion to WAV format. The library is designed to run on Linux and Android platforms, with plans for expansion to other platforms. Whisper utilizes three frameworks to function: DART for CLI execution, Flutter for mobile app integration, and web/WASM for web application deployment. The tool aims to provide a flexible and easy-to-use solution for transcription tasks across different programs and platforms.

The AWS Lex Web UI is a sample Amazon Lex web interface that provides a chatbot UI component for integration into websites. It supports voice and text interactions, Lex response cards, and programmable configuration using JavaScript. The interface can be used as a full-page chatbot UI or embedded as a widget. It offers mobile-ready responsive UI, seamless voice-text switching, and interactive messaging support. The project includes CloudFormation templates for easy deployment and customization. Users can modify configurations, integrate the UI into existing sites, and deploy using various methods like CloudFormation, pre-built libraries, or npm installation.

PyTorch Lightning is a framework for training and deploying AI models. It provides a high-level API that abstracts away the low-level details of PyTorch, making it easier to write and maintain complex models. Lightning also includes a number of features that make it easy to train and deploy models on multiple GPUs or TPUs, and to track and visualize training progress. PyTorch Lightning is used by a wide range of organizations, including Google, Facebook, and Microsoft. It is also used by researchers at top universities around the world. Here are some of the benefits of using PyTorch Lightning: * **Increased productivity:** Lightning's high-level API makes it easy to write and maintain complex models. This can save you time and effort, and allow you to focus on the research or business problem you're trying to solve. * **Improved performance:** Lightning's optimized training loops and data loading pipelines can help you train models faster and with better performance. * **Easier deployment:** Lightning makes it easy to deploy models to a variety of platforms, including the cloud, on-premises servers, and mobile devices. * **Better reproducibility:** Lightning's logging and visualization tools make it easy to track and reproduce training results.

MiniCPM is a series of open-source large models on the client side jointly developed by Face Intelligence and Tsinghua University Natural Language Processing Laboratory. The main language model MiniCPM-2B has only 2.4 billion (2.4B) non-word embedding parameters, with a total of 2.7B parameters. - After SFT, MiniCPM-2B performs similarly to Mistral-7B on public comprehensive evaluation sets (better in Chinese, mathematics, and code capabilities), and outperforms models such as Llama2-13B, MPT-30B, and Falcon-40B overall. - After DPO, MiniCPM-2B also surpasses many representative open-source large models such as Llama2-70B-Chat, Vicuna-33B, Mistral-7B-Instruct-v0.1, and Zephyr-7B-alpha on the current evaluation set MTBench, which is closest to the user experience. - Based on MiniCPM-2B, a multi-modal large model MiniCPM-V 2.0 on the client side is constructed, which achieves the best performance of models below 7B in multiple test benchmarks, and surpasses larger parameter scale models such as Qwen-VL-Chat 9.6B, CogVLM-Chat 17.4B, and Yi-VL 34B on the OpenCompass leaderboard. MiniCPM-V 2.0 also demonstrates leading OCR capabilities, approaching Gemini Pro in scene text recognition capabilities. - After Int4 quantization, MiniCPM can be deployed and inferred on mobile phones, with a streaming output speed slightly higher than human speech speed. MiniCPM-V also directly runs through the deployment of multi-modal large models on mobile phones. - A single 1080/2080 can efficiently fine-tune parameters, and a single 3090/4090 can fully fine-tune parameters. A single machine can continuously train MiniCPM, and the secondary development cost is relatively low.

Ultralytics YOLO for Flutter is a Flutter plugin that allows you to integrate Ultralytics YOLO computer vision models into your mobile apps. It supports both Android and iOS platforms, providing APIs for object detection and image classification. The plugin leverages Flutter Platform Channels for seamless communication between the client and host, handling all processing natively. Before using the plugin, you need to export the required models in `.tflite` and `.mlmodel` formats. The plugin provides support for tasks like detection and classification, with specific instructions for Android and iOS platforms. It also includes features like camera preview and methods for object detection and image classification on images. Ultralytics YOLO thrives on community collaboration and offers different licensing paths for open-source and commercial use cases.

AmbuFlow is a mobile application developed using HTML, CSS, JavaScript, and Google API to notify patients of nearby hospitals and provide estimated ambulance arrival times. It offers critical details like patient's location and enhances GPS route management with real-time traffic data for efficient navigation. The app helps users find nearby hospitals, track ambulances in real-time, and manage ambulance routes based on traffic and distance. It ensures quick emergency response, real-time tracking, enhanced communication, resource management, and a user-friendly interface for seamless navigation in high-stress situations.

SLMs-Survey is a comprehensive repository that includes papers and surveys on small language models. It covers topics such as technology, on-device applications, efficiency, enhancements for LLMs, and trustworthiness. The repository provides a detailed overview of existing SLMs, their architecture, enhancements, and specific applications in various domains. It also includes information on SLM deployment optimization techniques and the synergy between SLMs and LLMs.

Chat Nio is a next-generation AIGC one-stop business solution that combines the advantages of frontend-oriented lightweight deployment projects with powerful API distribution systems. It offers rich model support, beautiful UI design, complete Markdown support, multi-theme support, internationalization support, text-to-image support, powerful conversation sync, model market & preset system, rich file parsing, full model internet search, Progressive Web App (PWA) support, comprehensive backend management, multiple billing methods, innovative model caching, and additional features. The project aims to address limitations in conversation synchronization, billing, file parsing, conversation URL sharing, channel management, and API call support found in existing AIGC commercial sites, while also providing a user-friendly interface design and C-end features.

ViiTor-Voice is an LLM based TTS Engine that offers a lightweight design with 0.5B parameters for efficient deployment on various platforms. It provides real-time streaming output with low latency experience, a rich voice library with over 300 voice options, flexible speech rate adjustment, and zero-shot voice cloning capabilities. The tool supports both Chinese and English languages and is suitable for applications requiring quick response and natural speech fluency.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

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Hello, I'm AppCrafty, your AI coding companion tailored for the creative and dynamic world of startups. I'm here to simplify the journey from concept to deployment across iOS, Android, and web platforms. Let's create something amazing together!

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Expert in mobile app idea generation and development guidance

Guides the design, development, and optimization of mobile applications.

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Guides users through mobile phone resets.

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