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...liệu của G-LIFE (RAG), và chạy mượt mà trên hạ tầng Serverless. ​2. TRỌNG TRÁCH CHUYÊN MÔN (MISSION) ​Bạn sẽ dành quỹ thời gian của mình để giải quyết 3 bài toán lớn: ​A. AI System Integration & Orchestration (60% - The Core) ​Xây dựng "AI Gateway": Thiết kế và triển khai lớp trung gian (sử dụng Python FastAPI hoặc Supabase Edge Functions) để quản lý, điều phối và tối ưu các luồng gọi tới LLM (OpenAI, Gemini, Anthropic). ​Làm chủ RAG (Retrieval-Augmented Generation): Đây là trái tim của hệ thống. Bạn sẽ thiết kế luồng dữ liệu từ Knowledge Graph (trên Supabase) -> Vector Store (pgvector) -> LLM để đảm bảo AI trả lời đúng n...

...nội bộ tra cứu, vận hành dễ dàng Kỹ thuật & công nghệ đề xuất Ưu tiên ứng viên có kinh nghiệm sử dụng các công nghệ sau: Thành phần Công nghệ đề xuất Giao diện Angular / Tailwind / hoặc Web đơn giản Backend / NestJS (Node.js) AI Multi-agent LangChain + LangGraph, hoặc framework tương đương Vector Database ChromaDB / FAISS / Weaviate LLM GPT-4 / Claude / Mistral / LLaMA3 (có thể dùng OpenAI API hoặc mô hình nội bộ) Cơ sở dữ liệu MSSQL / MySQL (kết nối dữ liệu nội bộ công ty) OCR / File xử lý Tesseract, pdfplumber, pandas (nếu có hồ sơ dạng scan) Tài nguyên sẵn có Dữ liệu mẫu (Excel, hợp đồng PDF, log API TMS, danh mục lỗi thường gặp) Mô...

Tôi cần thuê làm phần mềm chatbot Facebook viết bằng python, sử dụng OpenAI (có documents link: ). Tính năng: 1. Nạp thông tin sản phẩm theo cấu trúc dữ liệu có sẵn vào phần mềm 2. Tính năng kết nối/xóa các fanpage để tự động trả lời tin nhắn facebook 3. Không cần xây dựng kịch bản cho chatbot, hoặc xây dựng quy tắc tự động. 4. Quản lý tin nhắn cho các fanpage trên phần mềm 4. Xây dựng giao diện trực quan cho các tính năng sẽ trao đổi chi tiết hơn, ưu tiên trực tiếp tại hà nội

...the raw post data (caption, hashtags, basic engagement numbers and, where accessible, image/video URLs) through whichever mix of libraries makes sense—Tweepy or Twitter API v2 for Twitter, Instaloader or Selenium for Instagram, and the official or unofficial LinkedIn API for LinkedIn. After normalising everything into a common JSON schema, the crawler should pass that dataset to an LLM endpoint (OpenAI or similar) and receive back a concise, structured report that includes: • Brand sentiment (positive / neutral / negative trends) • Key thematic buckets the brand talks about • Audience-engagement highlights such as most-reacted posts, average comment tone and any spikes The end product I’m expecting is: 1. Well-commented Python code with a req...

...Insurance: coverage details, claims history. Other: strata plan details, lot entitlements, any notices or orders. The AI needs to intelligently read these dense, variable-format documents and highlight anything that could materially affect a buyer's decision or future costs. Required Skills/Experience (what to look for in bids): Strong experience with Grok/xAI API (or similar LLMs like Claude/OpenAI if transferable). PDF parsing, text extraction (PyMuPDF, pdfplumber, LlamaParse, etc.). Prompt engineering for consistent, high-quality legal/financial document analysis. Python automation (LangChain/LlamaIndex helpful for chaining). Optional: building simple front-ends (Gradio/Streamlit) or integrations (Google Drive, email triggers). Understanding of Australian property/str...

...API integration, fully authenticated under my Business Account. • A ChatGPT / OpenAI powered conversational layer that replies in a natural mix of Hindi and English—free-text, no rigid button flows. • Prompt engineering and initial fine-tuning so the agent can: – greet prospects, collect their city & state, monthly electricity bill and interest level – qualify or disqualify leads automatically – hand off high-intent contacts to our human closers through a webhook. • Scheduled, context-aware follow-ups (e.g., D+1, D+3, D+7) that pick up the thread as a human would rather than sending generic reminders. • Webhook or lightweight middleware (Node, Python or your preferred stack) that bridges OpenAI, Gupshup an...

I need a small, public-facing website whose sole purpose is to chat with visitors about Prayagraj and guide them to current cultural events—festivals, exhibitions, live performances, campus happenings, anything that gives the city its character. Here is what I have in mind: the landing page loads a conversational widget powered by an AI model (OpenAI, Hugging Face, or a comparable LLM—whichever you are most comfortable using). When a traveller asks “What’s on this weekend?” or “Is there a classical music recital tonight?”, the assistant responds with up-to-date, location-specific tips plus practical details such as venue, timings, ticket links and a quick route description. It must recognise follow-up questions, keep context for at least ...

...fast, accurate text search. Here’s what I’d like from you: • Recommend and deploy a production-ready vector database (Pinecone, Weaviate, Chroma, Milvus or a comparable option). • Design a text-specific embedding and metadata schema, including parameters such as chunk size, overlap, and namespace strategy. • Build ingestion scripts that batch-process my existing documents, generate embeddings (OpenAI, Hugging Face or similar), and populate the database. • Provide a lightweight retrieval module that I can call from my LLM layer to perform similarity search, filter on metadata, and return ranked contexts. • Supply concise documentation so I can extend the pipeline or change providers later. Clean, well-commented Python preferred, but I’m...

We are a Sydney based rental vehicle business. We have Typebot integrated with OpenAI. It is set up to respond to our customers via our WhatsApp Business and Facebook Messenger using Chatwoot. We need to have Typebot trained into an AI assistant. Your job is to configure, train, and test the bot so it responds naturally in both Messenger and Instagram DM, keeps the brand voice consistent, and hands off to a human when needed. I will share detailed instruction on our business, common questions and template answers, guidance on when the bot should hand off to a human, access to our Typebot workspace along with brand guidelines, and API keys. I expect you to: • Map out the conversation flow directly inside Typebot, making the most of its GPT-powered blocks and fallback logic...

...Asociación del GCLID con número llamante Se debe almacenar en base de datos: • Fecha llamada • Teléfono • GCLID • Keyword • Campaña • Duración Base de datos aceptada: • MySQL • PostgreSQL • SQLite (si es ligera) ⸻ FASE 2 – Análisis automático de conversación El sistema debe: 1. Detectar nueva llamada desde API de Zadarma. 2. Obtener grabación o transcripción. 3. Enviar transcripción a OpenAI API. 4. Clasificar automáticamente la llamada en: • Lead negativo • Lead informativo • Lead cualificado (intención real) Criterios configurables, por ejemplo: • Solicita cita • Pide presupuesto concreto ...

...segmentation and personalised copy generation to scheduling, sending and basic analytics. • Manage our social media presence with auto-generated posts, simple scheduling and performance tracking. • Proactively search for suitable prospects, initiate outreach, nurture conversations and, where possible, close the deal or book in-person meetings for me to attend. If you’ve worked with tools such as OpenAI, LangChain, Zapier, GPT-powered chat flows or similar stacks and can wire them up to standard email, CRM and social platforms, that’s ideal. Clean, well-documented code and a quick hand-off are important; I want to own and easily extend whatever we build. Deliverables will be accepted when: 1. The website loads on my Hostinger domain with valid SSL. ...

A Generative AI Expert designs, develops, and deploys AI systems that can generate content such as text, images, code, audio, and video using advanced models like LLMs (Large Language Models) and diffusion models. They work with technologies such as OpenAI APIs, Google AI, Microsoft Azure AI, and open-source frameworks like Hugging Face. Key Responsibilities Develop AI-powered applications using LLMs (GPT, Claude, Gemini etc.) Fine-tune models using domain-specific data Build prompt engineering strategies Implement RAG (Retrieval-Augmented Generation) Deploy AI models using cloud platforms (AWS, Azure, GCP) Optimize AI performance, latency, and cost Ensure AI ethics, bias mitigation, and data privacy compliance Integrate AI with web/mobile applications via APIs Required Skills T...

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...Optimization" (GEO) platform. The Product: A tool that monitors brand visibility across LLMs (ChatGPT, Perplexity, Gemini). The tool will track prompts, analyze mentions, and identify citation sources. Tech Stack (Non-negotiable for speed): - Frontend: (App Router), Tailwind CSS, Shadcn/UI - Backend/Database: Supabase (Auth & DB) - AI Orchestration: Perplexity API (for real-time citations) & OpenAI API (for analysis) - Deployment: Vercel Key Features to Build in Phase 1: - User Dashboard: Clean, dark-themed UI showing "AI Visibility Score" - Prompt Manager: CRUD for tracking specific queries - Automated Scanner: A background worker/cron job that queries APIs and parses responses - Source Extractor: Logic to identify and store URLs cited by the AI Timel...

...look-alike domain to protect my primary inbox). Human Review: I will review the drafts in Outlook, make any final edits, and manually hit "Send." CRM Sync: Once sent from Outlook, the email and any subsequent replies must be automatically logged to the corresponding contact record in HubSpot (via BCC or API). Technical Preferences & Requirements: Stack: Open to solutions using Python, APIs (OpenAI, HubSpot, Microsoft Graph), Zapier, or Make.com. The final product must be reliable and repeatable. AI Tone: The language must be polished, formal, and consistent. The AI must be able to find a credible "milestone" to make the email feel bespoke. Deliverability: The system must be built to protect sender reputation. This includes guidance on warming up the ...

...self-serve, AI-driven help desk and need a specialist who can turn ChatGPT into a friendly, always-on support agent. The focus is narrow and clear: generate accurate, conversational chat responses that feel genuinely helpful rather than scripted. Here’s what I have so far: • A knowledge base containing product documentation and common troubleshooting steps (Markdown and PDF). • Access tokens for OpenAI and our live-chat platform (Zendesk Chat, but I can switch if you recommend a better fit). • A rough list of recurring questions pulled from the last six months of transcripts. What I’m missing—and what I’d like you to deliver—is a refined prompt-engineering workflow that teaches ChatGPT how to: 1. Detect intent from incoming chat mess...

...Facing direction Floors Vastu preference Parking / Balcony requirement This is a draft-generation tool (not AutoCAD-level software). Project Objective Build a smart 2D layout engine that: Generates a floor plan automatically Ensures rooms fit within plot boundaries Prevents room overlap Maintains realistic adjacency rules Allows drag and resize editing Exports layout as PNG Stores layout as JSON OpenAI will be used for suggestion logic (room sizing, adjacency planning, vastu suggestions), but geometry placement must be rule-based. Required Technical Skills Core (Must Have) Strong React / experience (2+ years) Experience with Canvas or SVG rendering: (Preferred) Or custom SVG rendering Strong JavaScript / TypeScript logic Experience building interactive UIs: Drag and

...self-serve, AI-driven help desk and need a specialist who can turn ChatGPT into a friendly, always-on support agent. The focus is narrow and clear: generate accurate, conversational chat responses that feel genuinely helpful rather than scripted. Here’s what I have so far: • A knowledge base containing product documentation and common troubleshooting steps (Markdown and PDF). • Access tokens for OpenAI and our live-chat platform (Zendesk Chat, but I can switch if you recommend a better fit). • A rough list of recurring questions pulled from the last six months of transcripts. What I’m missing—and what I’d like you to deliver—is a refined prompt-engineering workflow that teaches ChatGPT how to: 1. Detect intent from incoming chat mess...

...Integración Wazend + n8n + OpenAI con cumplimiento estricto de políticas WhatsApp ⸻ 1. Objetivo del proyecto Desarrollar un sistema automatizado de atención al cliente por WhatsApp Business utilizando: • Wazend (ya operativo) • n8n como motor de automatización • OpenAI API como motor de generación de respuestas El sistema debe: 1. Recoger múltiples mensajes enviados por un cliente. 2. Agruparlos. 3. Generar una única respuesta consolidada. 4. Cumplir estrictamente las políticas oficiales de WhatsApp Business (Meta). 5. Evitar spam, flooding, duplicaciones y ejecuciones paralelas. 6. Respetar la ventana de 24 horas. 7. Respetar horarios y reglas de cita definidos. ⸻ 2. Stack tecnoló...

...-Draft IC and board materials from templates -Standardize presentations and memos -Replace recurring analyst work -Produce management summaries -Highlight anomalies and trends - Market intelligence: - Build comp sets - Pull pricing and availability - Map assets and demand drivers - Provide macro context Mandatory data inputs: Internal databases and Excel Dropbox Web scraping Open to Claude, OpenAI, or alternatives. Need guidance on best mix of accuracy, cost, and scalability. Human review is acceptable. DELIVERABLES Simple, practical architecture Pipelines from databases, Dropbox, web Structured outputs AI for summaries, comparisons, anomaly detection Automated reports or presentations Cloud or container deployment Documentation Clear rules for human verification P...

This project entails building a generative-AI web application that runs entirely on OpenAI GPT and delivers a smooth, real-time, text-based chat experience. The frontend must be responsive so users on desktop or mobile feel no friction, while the backend handles dynamic prompts, keeps short-term conversational context, and lets me fine-tune how the model responds. Core functionality • Secure user authentication (log in / sign-up) • Drag-and-drop or button-based file sharing inside the chat window • Conversational memory so the AI remembers context during a session and resets cleanly when required Behind the scenes the app should: • Call the OpenAI GPT API efficiently, batching or streaming tokens where it makes sense to keep latency low • ...

...enterprise integration. Target application includes IBM OpenPages SaaS (GRC) accessed via REST APIs. The first phase will implement a proof-of-concept that allows an AI agent to retrieve and update structured records using approved APIs via a secure middleware service. Scope of Work (Phase-1: Foundational Setup) Build a secure middleware API service (AI Gateway) Integrate an enterprise LLM (Azure OpenAI or equivalent hosted LLM) Implement tool/function calling (agent actions) Connect to an existing enterprise system via REST APIs (query + update operations) Implement structured response schema (business entities like risks, issues, controls, tasks) Implement logging, traceability, and error handling Implement role-aware request handling (no hardcoded credentials) Ensur...

...students can type questions. It must support "streaming" (where text appears word-by-word) so users aren't waiting on a loading screen. The Bridge (Back-end): Develop a secure middleman (API) that takes the student’s question, sends it to OpenAI or Google Gemini, and brings the answer back to the website. AI Logic: Set up the system so I can easily toggle which AI model is being used (or have the system use both). Security: Ensure my API keys are hidden on the server and not visible to users. Required Technical Skills AI Integration: Experience with OpenAI API (GPT-4) and Google Gemini API. Back-end: Proficiency in Python (FastAPI/Flask) or Node.js. Front-end: JavaScript, HTML/CSS (React or Vue experience is a plus). Security: Knowledge of envir...

...that plugs directly into my customer service platform. The goal is to reduce repetitive work by letting the bot: • Respond to FAQs with clear, pre-approved answers • Gather key customer information (name, email, order number, issue summary) and pass it into my help-desk workspace in real time Here’s what I’m after: 1. A simple, maintainable Zap or Make scenario that connects the chatbot (OpenAI or similar) to the chosen customer service tool. 2. Structured mapping of the captured data to the correct fields so my team sees everything in one ticket thread. 3. A short read-me or Loom walkthrough showing how the automation is configured and where to tweak replies or routing rules later. If you’ve built similar FAQ or data-capture bots, I&rs...

I’m looking for a developer who can build an AI-driven agent that lives inside PowerPoint and automatica...slide titles, body text, and visual assets based solely on the content the user supplies • Smart layout decisions so the finished deck looks clean and professional out of the box • A simple interface where I paste or upload my content and click once to create the deck • Clear documentation so I can install, run, and edit the agent later if needed You are free to leverage Office JS, Python, OpenAI APIs, or another toolkit you’re comfortable with as long as the final solution runs reliably in the latest desktop version of PowerPoint. Please include examples of similar automation or AI projects you’ve delivered and outline your proposed appr...

...so I can see it operating in real time before we move forward. The core requirements are straightforward: the agent needs to run in a browser, accept its own knowledge base or document set for context, and ship with source code plus clear documentation. I’m also expecting help getting the code stood up in a SaaS or on-prem environment. I’m flexible on architecture; whether you built it around OpenAI, Claude, Llama, FastAPI, Node.js, Pinecone, FAISS, or Weaviate doesn’t matter as long as it performs reliably at scale. To keep things simple, here’s exactly what I need to review: • A public demo link I can test myself • The industry your agent targets • Short outline of the tech stack • Your price per agent and estimated hand-over...

...so I can see it operating in real time before we move forward. The core requirements are straightforward: the agent needs to run in a browser, accept its own knowledge base or document set for context, and ship with source code plus clear documentation. I’m also expecting help getting the code stood up in a SaaS or on-prem environment. I’m flexible on architecture; whether you built it around OpenAI, Claude, Llama, FastAPI, Node.js, Pinecone, FAISS, or Weaviate doesn’t matter as long as it performs reliably at scale. To keep things simple, here’s exactly what I need to review: • A public demo link I can test myself • The industry your agent targets • Short outline of the tech stack • Your price per agent and estimated hand-over...

I want to launch a cohesive suite of AI-powered creation tools that runs smoothly in any modern browser and ships as a companion iOS/Android app. The platform will revolve around four core experiences: • Chatbot: A conversational assistant driven by a large language model (OpenAI GPT-4, Claude, or a comparable open-source model) with memory, retrieval-augmented generation, and an admin panel so I can refine prompts and monitor usage. • Image & Video Generator: Text-to-image and text-to-video pipelines using Stable Diffusion / Stable Video Diffusion (or a stronger alternative) with prompt weighting, negative prompts, and upscaling. • 3D Image Generator: Generation of glTF/OBJ assets ready for WebGL display, including basic texture baking. • AI-Assisted ...

...full-stack developer who can quickly design and implement a small, production-quality feature across backend, AI, or Web3 components. This is a short task meant to validate technical depth, architecture thinking, and clean execution. Scope (1-Hour Deliverable) One of the following (or similar complexity): - Build a minimal FastAPI endpoint with proper validation and auth stub - Implement a small OpenAI-powered endpoint (structured output, clean prompt design) - Create a basic RAG-style retrieval flow with mock data - Deploy a simple smart contract (Solidity or Rust) with clear structure - Wire a React/ frontend to a clean backend endpoint Requirements - Clean, modular code - Secure implementation (input validation, edge cases handled) - Clear structure and comments where neede...

...creative for Meta (Facebook/Instagram) plus landing page / advertorial funnel work. What you’ll do - Research competitors, offers, funnels, and winning creative patterns - Build simple customer/angle docs (pain points, desires, objections, language) - Write clear briefs for static + video (hook, structure, scenes, overlays, CTA) - Create AI static ad concepts/variants (Midjourney / Nano Banana / OpenAI image, etc.) with brand consistency - Draft/improve ad copy + landing page / advertorial / quiz copy - Review performance (thumbstop, CTR, CPC, CPA, CVR) and propose next tests; scale/kill based on data - Collaborate async with founder, media buyer, editor, designer (clear feedback + fast iteration) Deliverables - Creative test plan + angle library - Static variants (sco...

...before revealing answers, and supply worked examples or hints instead of simply giving solutions. Safety is critical, so I need content filters, refusal handling, and basic session logging that lets us audit conversations without storing any personal data. I’m open to whichever stack you prefer—Python (FastAPI), Node.js, or a no-code backend—as long as it can interface smoothly with an LLM such as OpenAI GPT-4, Claude, or an open-source alternative (e.g. Llama-2 via LangChain). The current site runs on React, so the front-end widget should drop in with minimal rewiring and respect our existing SSO token to identify the parent account. Deliverables • Conversational AI model pipeline with prompt-engineering layer tuned for K-12 homework support • R...

...channel we decide together. Here is what I expect: • A complete UX flow mapped from greeting to hand-off or completion • Wireframes followed by high-fidelity, responsive screens (Figma or similar) • Front-end implementation in clean, production-ready HTML, CSS, and JavaScript (React or Vue preferred, but I’m flexible) • Smooth hand-off hooks so the UI connects easily to my AI back end (OpenAI API) • Clear notes on any micro-interactions, animations, or accessibility considerations I have not locked down the exact purpose or platform, so your strategic input on best practices for customer support, sales funnels, or FAQ automation will be valuable. We will iterate quickly: you show progress, I give feedback, we refine, then we move to co...

...from the outset to allow for rapid scaling to a large number of users (SaaS architecture). The development of a scalable web MVP for users to automate quote generation via voice input. The system must be built from the beginning to allow for rapid scaling to a large number of users. Experience in OpenAI API, PDF generation, and multi-language SaaS web applications is essential. Core Function (MVP Phase 1), Workflow 1. User records the quote or uploads an audio file. 2. Speech-to-text (OpenAI or alternative). 3. LLM converts text into structured JSON. 4. JSON is loaded into an editable quote form. 5. User can manually correct or add items. 6. Automatic calculation (net, VAT, gross). 7. PDF generation. 8. Sending via email or WhatsApp. Functional Requirements 1. ...

...start a dictation using Whisper (local or API-based). Example spoken input: "Echo shows known reduced EF of 40 percent and duplex is stable." The transcript should automatically be saved into a defined input folder (e.g., /dictation_input). Trigger: As soon as a new transcript file appears in that folder, n8n should trigger automatically. Processing Step: The transcript should be sent to OpenAI (GPT-4 or similar) with a predefined system prompt such as: "Rewrite the following transcript into a professional medical conclusion suitable for a physician letter." Expected AI output example: "Fortunately, the cardiac examination revealed a stable situation in terms of the ultrasound findings. The systolic left ventricular function remains mildly reduced ...

...copy and then loaded into my system. The raw material is plain-text extracted directly from those pages—no numerical or mixed data involved—so the entire job revolves around handling text content only. Here is the workflow I have in mind: first you’ll grab the plain text from each specified URL, strip away anything that isn’t core content, and feed that text into your preferred rewriting engine (OpenAI, GPT-based, or another high-quality NLP tool). The goal is a fluent, human-sounding rewrite that preserves meaning while clearing any potential plagiarism checks. Once the rewrite is approved, you will insert the new text back into the destination I provide (CSV template or the web form in my CMS—both options are ready for you). Deliverables • A...

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... NOTE: Required Technical Stack (Non-Negotiable) You must have experience with: Node.js or Python backend (FastAPI / Express / NestJS) Background job queues (BullMQ / Celery / Redis / RabbitMQ) PostgreSQL Object storage (S3 or equivalent) Production deployment (AWS / DigitalOcean / similar) API architecture design Handling long-running async workflows Bonus: Experience with AI APIs (OpenAI / Anthropic) Experience with document parsing Cost optimisation for AI workloads NOTE: The Core Challenge We process building inspection PDFs (50–70+ defects per document). Each defect requires: AI classification Structured extraction Cost estimation logic Controlled pricing variance (not wide AI guesses) The system must: Handle multiple reports processing simultane...

...frontend form submission. You will be responsible for connecting a custom Webhook trigger to a series of API calls (Retell AI, OpenAI) and database updates (Google Sheets), ending with a theatrical HTTP 302 redirect. The Tech Stack - Automation: (Advanced Logic & Error Handling) - Voice AI: Retell AI API - Brain: OpenAI API (GPT-4o) - Database: Google Sheets - Frontend Integration: Webhook-based (302 Redirects) Key Responsibilities - Data Sanitization: Use Regex to standardize phone number inputs. - Inventory Management: Create a "Bench" system in Google Sheets to pull available phone numbers and "lock" them to a client. - Dynamic Prompt Engineering: Use OpenAI GPT-4o to generate unique system prompts based on user input. - API Orches...

I need a Zoho-native chat bot that can sit inside SalesIQ, greet website visitors, answer their sa...prospect meets my criteria, it should schedule a follow-up task or create a deal record automatically; if not, it tags them for nurture. I’ve already connected SalesIQ and CRM; you’ll focus on configuring the bot rules, training the AI responses, and testing the full hand-off so data lands in the correct modules with no duplicates. Experience building Zoho Bots (or working with Deluge, Zia, or OpenAI integrations) is essential—please highlight similar implementations you’ve done. I’ll provide access to my Zoho environment plus all content sources. Hand-over is complete when I can watch a live visitor go from first question to qualified record inside CR...

We’re looking for a developer to build a lightweight AI-powered workflow that reduces manual lead handling. Scope (Phase 1 – Micro Automation): • Connect a simple lead form (or mock webhook endpoint) • Process incoming lead data • Use AI (OpenAI API or similar) to generate a structured response • Send automated email reply based on AI output • Store lead + response in database (or simple JSON storage) Deliverables: • Working backend workflow (Node.js or similar) • AI integration properly structured (no hardcoded hacks) • Clean, readable code • Basic documentation on how to run the system • Example test data This is a small fixed-scope task focused on automation architecture and clean implementation. If successful, th...

I want a simple web app created. Functionality of the app is, User can upload an image and image will be sent to openAI with a predefined/hard coded prompt. once the response from openAI arrive, show it on a results page. Further, users can signup & signin and they will have simple dashboard app runs on image credit basis. 1 image credit equals to 1 image upload. New users get 1 free credit. paid users can purchase image credits as packages Users can select from 3 different packages essential, standard & extra. in essential package user pays $3 and he will get 3 image credits. in standard package user pays $5 and he will get 8 image credits. in premium package user pays $10 and he will get 20 image credits. link stripe as payment processor supabase as database...

...work will cover both iOS and Android. Cross-platform solutions like Flutter or React Native are welcome, but native Swift/Kotlin skills are equally valuable if a project demands it. The AI receptionist must integrate with common calendar systems (Google, Outlook, iCloud, etc.) and handle conversational booking, rescheduling and basic FAQs. Experience with Dialogflow, Rasa, LangChain or direct OpenAI API calls will be a major plus, and you’ll need to set up any necessary webhook or Twilio/WhatsApp gateway so the bot can operate on both web chat and messaging channels. Deliverables I expect on a typical engagement: • Clean, well-documented code in a public or private repo • Deployed, fully functioning web and/or mobile build • A chatbot that reliably bo...

I’m building a “plug-and-play” Mac mini that runs as an always-on AI Workforce Box for SMBs. Your mission is to develop the first-release software stack and deployment package so I can install it repeatedly on multiple Mac minis and have it run reliably on-site with minimal setup. Core functionality • Integrate both Claude (Anthropic) and OpenAI APIs with a single codebase (toggle or fallback logic required). • Automate these workflows: 1. Inbox triage with daily email summaries sent to the user 2. Draft email replies matching the user’s writing style (few-shot priming from sent mail) 3. Meeting briefings generated using relevant email threads + calendar context • Provide an internal document knowledge base: • Upload documents via ...

...stack): CapCut API RunwayML Descript Pictory FFmpeg automation OpusClip (if API available) Output format: MP4 1080x1920 Under 60 seconds STEP 3: AI Caption + Metadata Generation From video transcript: Generate: Instagram caption (engaging, short-form) YouTube Shorts description 10–15 relevant hashtags SEO-friendly title (for YouTube) Hook line for thumbnail text (if needed) Tools: OpenAI API (GPT) Claude API (optional) Whisper API for transcription Tone: Confident Printing/entrepreneur vibe High-value, actionable STEP 4: Auto Posting Instagram Posting Use Meta Graph API (business account required) Schedule or instant post Attach caption + hashtags YouTube Shorts Posting Use YouTube Data API Auto-upload as “Short” Add title + des...

...are: • Code generation from high-level specs • Pin-pointed bug-fixing suggestions after reading a failing test or stack trace • In-line code review and optimisation feedback before pull-requests are merged Language & tooling The model must reason confidently in Python, JavaScript and Java, because those are the three stacks our teams use daily. You are free to orchestrate it with LangChain, OpenAI, Llama-index, or similar frameworks—whatever lets the prompts stay dynamic and the responses actionable. Desired flow 1. User enters a natural-language request in our IDE or chat UI. 2. Agent classifies the intent (generate, fix, or review). 3. It builds a structured prompt that injects file context, coding standards, and test output. 4. The large-...

...smart sales agent, automatically engaging prospects and nurturing them until they are ready for my team. The core objective is to improve customer interactions specifically for sales and lead generation, so the automation must be able to capture incoming leads, qualify them with AI-powered prompts, and trigger personalized follow-ups. The stack is n8n at the center, paired with an LLM such as OpenAI or Claude for the conversational logic. Data should flow smoothly between the workflow, my CRM, and any outreach channels we decide to activate (email, social media, or on-site chat are all on the table). Although customer support and survey use-cases are not the priority right now, I want the structure to remain flexible enough to add them later without rebuilding everything from ...

...narrative report—charts, key metrics and a short executive summary—all in one go. The brief in a nutshell • Main use of generative AI: end-to-end automation of a task that is still done manually. • Process to automate: report generation (specifically sales reports). What I expect from you 1. A well-structured Python script or notebook that reads the daily CSV feed, calls the AI model (OpenAI, Claude, or another you recommend) to create the commentary, and outputs a PDF or HTML report. 2. Clear instructions on any required API keys, libraries and environment variables so I can run it on my own machine or a small server. 3. Concise documentation of the code flow, plus a couple of sample runs using dummy data to show the final result. If you have...

...para melhorar a experiência dos nossos membros. Escopo do Trabalho: Organização de Canais e Permissões: Estruturar categorias (Raids, Mítico+, PvP, Social) com permissões refinadas por cargos. Configuração de Bots Essenciais: Configurar bots de utilidade (como Wycliff, Raid-Helper para calendários ou bots de logs/armory). Integração de IA: Implementar um bot de Inteligência Artificial (ChatGPT/OpenAI ou similar) personalizado para: Responder dúvidas sobre mecânicas de classes e dungeons. Interagir no chat de forma contextualizada com o tema do jogo. Auxiliar na moderação ou organização de informações da guild. Segurança e Boas-vind...

...engine and the dashboard. The Product: A tool that monitors brand visibility across LLMs (ChatGPT, Perplexity, Gemini). The tool will track prompts, analyze mentions, and identify citation sources. Tech Stack (Non-negotiable for speed): - Frontend: (App Router), Tailwind CSS, Shadcn/UI - Backend/Database: Supabase (Auth & DB) - AI Orchestration: Perplexity API (for real-time citations) & OpenAI API (for analysis) - Deployment: Vercel Key Features to Build in Phase 1: - User Dashboard: Clean, dark-themed UI showing "AI Visibility Score" - Prompt Manager: CRUD for tracking specific queries - Automated Scanner: A background worker/cron job that queries APIs and parses responses - Source Extractor: Logic to identify and store URLs cited by the AI Timeline: MVP ...

...-Draft IC and board materials from templates -Standardize presentations and memos -Replace recurring analyst work -Produce management summaries -Highlight anomalies and trends - Market intelligence: - Build comp sets - Pull pricing and availability - Map assets and demand drivers - Provide macro context Mandatory data inputs: Internal databases and Excel Dropbox Web scraping Open to Claude, OpenAI, or alternatives. Need guidance on best mix of accuracy, cost, and scalability. Human review is acceptable. DELIVERABLES Simple, practical architecture Pipelines from databases, Dropbox, web Structured outputs AI for summaries, comparisons, anomaly detection Automated reports or presentations Cloud or container deployment Documentation Clear rules for human verification P...