Build Multi-Platform Jarvis AI Assistant

@augurstech

A Warm Hello! We are readily available to start working on this project! Your vision for Jarvis goes far beyond a traditional chatbot—it represents a unified AI productivity platform that understands your knowledge, manages your schedule, automates repetitive work, and serves as an intelligent business assistant. Our agency specializes in building enterprise-grade AI applications, automation systems, and cross-platform software, making us an excellent partner for this project. The solution will include: * AI reasoning powered by Anthropic Claude * Intelligent context retrieval from your Obsidian Markdown vault using semantic search and metadata indexing * Google, Outlook, and Apple Calendar synchronization * Voice and text interactions with low-latency speech recognition and natural text-to-speech * Desktop applications for Windows, macOS, and Linux * Companion mobile application (React Native or Flutter) with synchronized conversations * Secure local automation engine capable of executing Python workflows * Business intelligence dashboard for AI-driven sales, marketing, and operational insights We look forward to collaborating with you. Best regards, Ana

@diektech

Hi — Elias here from Miami. I see that you’re looking to develop a multi-platform AI assistant leveraging Anthropic’s Claude. It’s clear that the goal is to create a seamless and intuitive experience for users, making daily tasks easier. The real challenge here is ensuring smooth integrations across various platforms while maintaining performance and reliability. What usually matters most is the system's ability to scale as user demands grow. A common issue in projects like this is managing the complexity of permissions and workflows between different devices. My approach would focus on creating a solid architecture that supports easy future expansion. This means using robust APIs and ensuring that state management is handled efficiently. I aim for maintainability, so your team can adapt quickly as needs evolve. I’ve worked on similar AI-driven applications and understand the nuances involved in making them user-friendly and efficient. A few questions to better understand the scope: Q1 – What specific user roles do you envision for this assistant? Q2 – How do you plan to handle data privacy and security regarding user interactions? Q3 – Are there any particular integrations or third-party services you expect to use? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@corpmember29

Hello, We have worked on similar AI/RAG solutions and can share relevant examples. We have carefully reviewed your requirements and understand the complete scope of building a headless AI RAG agent with image artifact generation and AG-UI protocol support. I have 10+ years of experience in AI, Python, LLM integrations, RAG architecture, and document intelligence systems, we can build a scalable backend that supports document ingestion, intelligent retrieval, contextual responses, dynamic image highlighting, and seamless integration with SharePoint, Google Drive, and OpenRouter. Development Approach: Requirement Analysis → Document Ingestion & Vectorization → RAG Agent Development → Image Artifact Generation → Testing, Documentation & Deployment. We follow Agile methodology with milestone-based delivery and regular progress updates. You will receive the complete source code, detailed documentation, and assistance from development to deployment. We also provide 2 years of free ongoing support after delivery. I eagerly await your positive response. Thanks. Christina

@ZohaibRoy

⭐⭐⭐⭐⭐ Build Your Smart Personal Assistant with Python and Claude ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project details and see you're looking for a personal assistant built with Python and Claude. You don't need to look any further; Zohaib is here to help you! My team has successfully completed over 50 similar projects for personal assistant development. I will create a solution that manages your calendar, delivers instant answers, and automates routine tasks, all within your budget. ➡️ Why Me? I can easily build your smart assistant as I have 5 years of experience in Python development, API integration, and automation. My expertise includes natural language processing, user interface design, and cross-platform development. I also have a strong grip on mobile app frameworks and calendar APIs, ensuring a seamless user experience. ➡️ Let's have a quick chat to discuss your project in detail. I can provide samples of my previous work and explore how we can make your vision a reality. Looking forward to connecting with you! ➡️ Skills & Experience: ✅ Python Development ✅ API Integration ✅ Automation Scripting ✅ User Interface Design ✅ Cross-Platform Development ✅ Calendar Management ✅ Natural Language Processing ✅ Mobile App Development ✅ Speech Recognition ✅ Markdown Integration ✅ Task Scheduling ✅ Documentation Writing Waiting for your response! Best Regards, Zohaib

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in JavaScript, Python, Mobile App Development, Google App Engine, React Native, Flutter, AI Chatbot, AI Development and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.   Best regards, Sales department Tangram Canada Inc.     

@ahmadayaz

I propose developing a personalized assistant integrating Anthropic's Claude and Obsidian knowledge vault. Using Python, we'll create a responsive, cross-platform solution for voice/text interactions, calendar management, and automation. By leveraging APIs and plugins, our goal is seamless user experience on desktop and mobile. Iterative development will ensure quick commands, calendar sync, and enriched responses with Obsidian notes. Let's build an assistant to enhance productivity effectively.

@softsolution2000

Hi, the Obsidian vault integration is the part I'd want to nail down early since that's what makes Jarvis feel like your assistant instead of a generic Claude wrapper - reading the markdown files directly and linking relevant notes back into answers is doable without needing their plugin API at all. For the voice layer I'd lean Whisper for STT since it runs fine locally and keeps latency under your 2-second bar, paired with push-to-talk rather than a wake-word to start (wake-word always-listening adds its own tuning headaches, can add later). Python service on desktop, React Native for the phone client so calendar sync and command handling share logic. I run a small dev team and we build a lot of Python-plus-mobile automation work, so this kind of orchestration layer (Claude API, calendar hooks, scripted routines) is close to our daily work. Happy to start with the calendar-to-Claude flow as a quick proof before scoping the rest.

@shivmirthyusl

Hi, I will build a multi-platform Jarvis AI assistant powered by Claude with a Python orchestration layer, integrated with your Obsidian vault, calendars, and business automation workflows. The solution will support both voice and text interactions, run locally on Windows, macOS, and Linux, and sync with a lightweight mobile client for iOS and Android. Core capabilities will include calendar management, contextual answers enriched with Obsidian notes, routine automation triggers, and business intelligence updates such as sales metrics, click-through rates, and operational insights. The architecture will use Python for orchestration, Claude API for reasoning, Obsidian file/plugin integration for knowledge retrieval, calendar APIs for event synchronization, and low-latency speech-to-text/text-to-speech services. I will also provide sample automation scripts, setup documentation, extensible command frameworks, and a working demo covering both desktop and mobile experiences. Regards, SNR

@DrSyafiq

You're building Build Multi-Platform Jarvis AI Assistant, where the real delivery risk is usually in the workflow details, not just the feature list. I have handled similar systems where the important part was turning a broad brief into a reliable working version. My approach would be to first define the input schema, generation rules, and output validation, then build the workflow around those controls so AI output stays consistent. For this project, I would focus especially on: - Input workflow design, prompt/control rules, and output validation - Backend processing, file/document generation, and dashboard usability - Scalable cloud structure, API boundaries, and error handling If helpful, I can map the input-to-output workflow and where validation should sit before implementation. Best, Dr. Syafiq

@Mahihassi

As a full-stack developer at MHTechFusion, my team and I specialize in creating intelligent products - exactly what your project demands. With our advanced AI integration skills, we can make Jarvis come alive by seamlessly incorporating Anthropic’s Claude into its functionality. Our extensive experience with Python, coupled with a deep understanding of interactive applications fitting various platforms like iOS, Android and desktop Windows, macOS and Linux make us an apt match for your needs. When it comes to delivering on the complexity of AI-driven projects, synchronization is key. My team’s expertise in cloud integration and deployment using AWS, Firebase and GCP ensures that your Jarvis runs like a well-oiled machine and all your data is available anytime, in a secure manner. Additionally, our knowledge of AI-powered analytics means that the answers Jarvis provides will be enriched with the most relevant information pulled from Obsidian, taking your personal assistance experience to new heights. Lastly, aside from building just another AI assistant, we are keen on creating a sustainable system. Your satisfaction criterion is ours too. We emphasize linting and guarantee our code will install with ease on macOS, Windows and Ubuntu.

@gotucat

Hi, I reviewed the project and understand you want a cross‑platform Jarvis AI assistant powered by Claude, with desktop Python orchestration and a lightweight mobile client, integrated to Obsidian notes and calendar apps. Within Mobile App Development, AI Chatbot, and Flutter, I’ll implement the Python orchestration, route Claude queries, enrich replies with Obsidian notes, and wire up Google/Apple/Outlook calendars, while delivering a responsive Flutter-based mobile front-end and a desktop service with low-latency voice and text. Expect clean code, fast iterations, and straightforward maintenance with clear setup and docs. I’ll keep responsiveness and quality at the core, and you’ll be able to manage changes easily. Let’s discuss here now.

@contriverz

Hello, Your vision for Jarvis is exactly the kind of AI assistant I enjoy building. I have experience with Python, Claude/OpenAI APIs, React Native, FastAPI, automation workflows, calendar integrations, and AI-powered knowledge systems. My proposed architecture Python + FastAPI as the core orchestration service Anthropic Claude API for reasoning and conversations Obsidian integration via Markdown vault and plugin/API for RAG-based responses Google, Outlook, and Apple Calendar integrations with secure OAuth Whisper/Vosk for speech-to-text and Coqui/Native TTS for voice responses React Native companion app (or PWA) for iOS and Android Features Voice and text conversations Calendar and reminder management AI-powered answers enriched with Obsidian notes Business dashboard with AI-generated insights Email templates and routine automation Easy plugin system for adding new commands and integrations Estimated Timeline: 8–12 weeks (phased delivery) A few questions: Do you want Jarvis to run fully locally whenever possible, or are cloud AI services acceptable for reasoning? Will multiple users eventually use Jarvis, or is it designed as a personal assistant only? I'm happy to sign an NDA and would love to become your long-term development partner as Jarvis evolves into a complete AI executive assistant. Best Regards, Dinesh L

@efanntyo

Hi there, I am thrilled to have the opportunity to propose my services for your Jarvis AI Assistant project. With extensive experience in AI development, mobile app development, and seamless cross-platform integrations, I am confident in my ability to deliver a robust and innovative solution. Your vision of transforming Jarvis into a versatile personal assistant aligns perfectly with my expertise. I have a strong background in Python and have worked with AI models similar to Claude, ensuring accurate and natural language processing. My experience with React Native and Flutter will facilitate the development of a consistent user experience across desktop and mobile platforms. To address your core functions, I will integrate calendar APIs for effective event management and utilize Obsidian's plugin API to enhance instant answers with relevant notes. Furthermore, my proficiency in orchestrating Python scripts will automate routine tasks, boosting efficiency. For interaction, I propose implementing low-latency voice and text interfaces to ensure prompt responses. Leveraging speech-to-text and text-to-speech technologies will provide a seamless conversational experience. I will deliver well-documented source code, intuitive setup instructions, and demo scripts to showcase the assistant's capabilities. My approach ensures that commands are processed swiftly, calendar events sync instantly, and relevant Obsidian links are provided. I look forward to discussing how I can contribute to bringing your Jarvis vision to life. Best Regards,

@DeveloperStation

Hi there, We’ve developed similar AI assistants that integrate with Google Calendar and use voice commands to trigger Python scripts. One of our products, Descripio, uses OpenAI’s Whisper API to convert voice into text, which is then processed by LLMs to generate actionable insights. We also built a Chrome extension for Descripio that allows users to highlight text from Amazon and eBay product pages, which is then summarized and sent to the LLM for further analysis. We can use the same approach for your product, where we convert voice into text and then use LLMs to extract relevant information from the context. We can also integrate with multiple calendar APIs, such as Google, Outlook, and Apple, to create a seamless experience for users. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit for your needs. I’m looking forward to hearing more about this exciting project. Best, Adil

@pasngames

Hello, I have carefully reviewed your project requirements and understand your vision for building a cross-platform AI-powered Jarvis assistant with Claude integration, Obsidian knowledge management, calendar synchronization, voice/text interaction, and intelligent Python automation. With 9+ years of software development experience and 200+ successfully delivered projects, I will build a secure, scalable, and responsive AI assistant with clean architecture, seamless cross-platform support, and future-ready automation capabilities. You will get: 1. Quality optimized work 2. 100% client satisfaction 3. Fast delivery 4. Suitable pricing 5. Unlimited revisions 6. Complete NDA & IP protection (project security is our top priority) Available to start immediately and committed to delivering according to your milestones and timeline. Come inbox & let’s get started. Best regards, Sohaib Pasn Games

@leciffre69

Hi, I'm Andrea from Alessandria. ⚡ Timeline: 25 days | Cost: $3200 ⚡ Main problem The real challenge here isn’t just connecting Claude to your Python-based Jarvis—it’s ensuring seamless, low-latency integration across diverse platforms and APIs while keeping the user experience smooth. Your need for instant calendar sync and enriched Obsidian note referencing means handling multiple data sources reliably, which often causes delays or inconsistencies if not architected carefully. I’ve seen similar projects where overlooked API rate limits or data syncing issues led to frustrating user experiences, especially when voice commands must respond within two seconds. ⚡ Main solution From my experience, the real key to success is designing a robust orchestration layer that prioritizes asynchronous processing and smart caching. This approach minimizes latency by prefetching calendar data and Obsidian notes, ensuring voice and text commands trigger immediate, accurate responses. In a past project involving multi-API calendar sync and knowledge base integration, this method reduced response times dramatically and kept data consistent across desktop and mobile clients. ⚡ Question To get started efficiently, could you share which calendar services you use most frequently and whether your Obsidian vault is primarily local or synced via a cloud service? Looking forward to hearing from you!

@mahig47

Hello! As per your project post, you are looking to build a Multi Platform AI Assistant that acts as a personalized productivity companion across desktop and mobile devices. The assistant will combine Claude powered conversations, Obsidian knowledge retrieval, calendar management, voice interaction, and Python based automation into a unified experience that can grow with additional capabilities over time. My focus will be on delivering a complete AI assistant featuring voice and text interactions, Claude API integration, Obsidian knowledge retrieval, Google, Apple, and Outlook calendar synchronization, reminders, Python based automation workflows, custom command execution, desktop background service, mobile companion application, speech to text and text to speech integration, secure authentication, notifications, and a modular architecture that supports future AI capabilities and third party integrations. I specialize in Python, Claude API integration, AI agent development, Flutter, React Native, Node.js, desktop application development, automation systems, speech recognition, natural language processing, REST APIs, cloud synchronization, and scalable cross platform architectures. I would be happy to discuss your requirements and help build a powerful, secure, and scalable AI assistant that brings together intelligent conversations, personal knowledge management, and workflow automation. Best regards, Nikita Gupta

@codefusion53

Hi I can architect and build Jarvis as a true desktop first personal assistant in Python, powered by Anthropic Claude and tightly integrated with your Obsidian knowledge vault, with a unified voice and text experience. I will implement a local orchestration service that handles command parsing, fast acknowledgement, Claude calls, and “enrich replies from Obsidian” using retrieval over your markdown notes. For voice, I will add low latency speech to text (Whisper or Vosk) plus optional text to speech, and a desktop UI as a tray or compact chat window. For mobile, I will deliver either a lightweight companion app or a PWA that connects to your local service or a minimal sync backend so the UX stays consistent. Calendar integration will use Google Calendar and Outlook APIs to create, modify, and announce events so changes appear instantly in the native calendar via standard OAuth sync. I will also provide a command framework so adding new automations is simple, plus at least two sample Python automation scripts (for example daily briefing assembly and file sorting). I will cover linting, packaging, and one line install scripts for macOS, Windows and Ubuntu, and include a short recorded demo for voice and text. Best, Justin

@Hubready

Hello!, I am a US-based senior software engineer(frontend, backend, ecommerce, etc)... I read your project description carefully, and I understand the goal is to build a true multi-platform Jarvis-style personal assistant powered by Claude, not just a simple chat app. With 15 years of experience in JavaScript, Python, React Native, Flutter, AI chatbot systems, and cloud deployment, I can help design something reliable, fast, and actually useful in daily use. My approach would be: 1) define the core assistant workflows and user experience 2) build the Claude-powered backend and task orchestration layer 3) develop the mobile client(s) with secure auth and clean sync 4) test edge cases, latency, and real-world assistant behavior before launch I’ve built production systems across AI automation, SaaS, and mobile apps, so I know how to turn a concept like this into a polished product that scales. Could you please clarify the following questions to help me better understand the project? 1) Which platforms do you want first, iOS, Android, web, or all three? 2) Should Jarvis support voice commands, memory, and task automation in the MVP? 3) Do you already have a preferred backend stack and hosting setup? A few relevant examples of my work: - a cross-platform AI productivity assistant - a mobile field-operations app with secure messaging and sync - an AI support dashboard for a growing SaaS business If you want, I can help shape the MVP first so we build the right thing from day