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I have a long-form Hindi video that needs two things: an accurate Hindi transcript created with Whisper AI-level precision, and a fully time-synced subtitle track translated into either English or Bengali—whichever you can render most naturally. I’m leaning on for the subtitle generation, so please plan your workflow around that platform. Standard SRT formatting is all I need; no embedding or styling beyond the usual sequence, timecodes, and dialogue lines. Clarity, correct timing, and a swift turnaround are critical. Deliverables • Hindi transcript (SRT) produced with Whisper AI or an engine of equal quality • Translated subtitle file (SRT) in English or Bengali, generated through and polished to read like a human wrote it If you’ve handled AI-assist...

I want to deploy an AI-powered agent that can jump straight into sales conversations with brand-new prospects. Its sole focus will be cold calling, introducing our offer, answering basic objections, and—most importantly—pinning down the prospect’s appointment preferences so my human team can take over at the right moment. Here’s what I need done: • Design or configure the voice AI workflow, including a natural-sounding script that can dynamically adjust to common responses. • Integrate the agent with my existing CRM so every call log, recording, and the prospect’s chosen time slot flows directly into the pipeline. • Provide a simple dashboard or reporting method so I can monitor daily call volumes, connection rates, and the number of appoin...

Título del Proyecto: Experto para Instalación y Optimización de Agente de IA Local (LLM Local) Descripción del Proyecto: Busco un programador con experiencia en Inteligencia Artificial para instalar y configurar un agente de IA que funcione 100% de forma local en mi computadora. El objetivo es no depender de la nube, garantizando total privacidad y velocidad de procesamiento. Tareas a realizar: Configuración del Entorno: Instalación y optimización de frameworks como Ollama, LM Studio o LocalAI. Optimización de Modelos: Aplicar quantization (GGUF/EXL2) a modelos como Llama 3, Mistral o Qwen para que funcionen de manera fluida según las capacidades de mi hardware (CPU/GPU). Interfaz de Usuario: Configurar una interfaz visual ami...

I want to create AI agent similar like this Please check the website:

Consultant Recrutement Freelance (F/H) – Dans le cadre de notre expansion, nous recherchons un recruteur indépendant pour piloter l’acquisition de Business Partners pour notre solution Digital Profile Shop. Description du poste : Identification stratégique : Utiliser vos propres canaux de sourcing pour trouver des experts qualifiés. Développement commercial : Convaincre les professionnels des opportunités de revenus et de la portée technologique de notre outil. Gestion de l'onboarding : Superviser le processus d'inscription et l'activation des abonnements des experts. Coordination : Faire le lien entre l'expert et le support technique pour optimiser l'expérience utilisateur. Points forts de l'...

I need an Airtable & AI specialist who can turn my current, mostly manual setup into a fully automated workflow focused on data entry. The objective is to have new records flow into Airtable without human touch, cleaned and enriched by AI where helpful, and then routed to the right views or linked bases. Right now I’m still deciding whether those incoming records will arrive through external APIs, manual form inputs, or an app such as Google Sheets, so I’m looking for someone comfortable mapping any of those sources. If you’ve worked with Airtable’s scripting, Make, Firecrawl or similar tools—and can weave in OpenAI or another model for smart parsing or classifications—that’s exactly the expertise I’m after. Deliverables I’m expec...

Our SaaS platform already serves millions of visitors across 300+ branches, and new features keep piling up. I need a reliable developer who can stay with us for the long haul, taking ownership of backend work in Laravel and Python while pushing new UI pieces in React. You’ll also help wire advanced AI/LLM functionality into existing services, so being comfortable with tools like ChatGPT and Claude is important. Day-to-day you’ll: • Extend and refactor APIs, queues, and micro-services in Laravel or Python. • Build or enhance React components that consume those endpoints. • Prototype and integrate AI/LLM features (content generation, semantic search, agent workflows). • Ship to Ubuntu 22.04 VPS instances and keep an eye on performance, ideally with Pos...

i want to create some office automation docker - waha - N8N - for whatapp automation with ai

I need a senior AI systems engineer to build Phase 1 of a private internal proposal automation platform for my federal contracting business. The goal is to automate solicitation intake, structured requirement extraction, historical award research, pricing support, and draft proposal preparation inside one controlled workflow. Scope of Work • Connect to API or equivalent source to retrieve opportunities using NAICS, PSC, set aside type, keywords, and deadlines • Download and classify solicitation files including PDF, DOCX, XLSX, amendments, and attachments • Extract requirements from Section B, PWS, Section L, Section M, CLINs, and compliance instructions • Build amendment control logic so only latest solicitation files remain active • Connect to USAspending or e...

We are building a mobile-first SaaS platform with AI integration focused on improving real-time operational workflows within a traditional industry. The product combines voice input, AI-generated outputs, location-based tracking, and a web-based dashboard to streamline data capture, reporting, and visibility. This is an early-stage project (pre-MVP) with a clear concept and initial designs already prepared, and we are seeking a strong developer or small team to build the first version. The scope includes a mobile application with user authentication, voice input, data submission, and GPS logging, alongside a web dashboard for data viewing, filtering, and report-style outputs. The system will also integrate AI capabilities such as speech-to-text and structured text generation using LLM APIs...

I already have a complete feature-length script in Malayalam and I want to see it on screen through an end-to-end AI production workflow. The goal is a realistic, full-length movie, not an experiment or a trailer. What I need • Virtual actors that look and emote convincingly, matching the age, gender and cultural nuances written into the script. • Photorealistic indoor and outdoor backgrounds that capture Kerala’s atmosphere—villages, city streets, backwaters, everything the story calls for. • Natural Malayalam dialogue delivery, lip-synced and emotionally accurate. The voices must avoid the tell-tale synthetic tone and preserve regional diction. • Seamless assembly of these elements into a polished final cut (colour grade, sound design, titles, cre...

我計畫將 Tiktok 完美接入 openclaw，打造一套 AI 自動化腳本／服務，核心需求如下： 1. 模擬真人操作 - 給文章點讚、評論、收藏和關注，行為需隨機化並符合 TikTok 風控策略。 2. 精準用戶拓展 - 依「基於興趣和標籤」條件，自動尋找並添加目標用戶。 - 成功找到後立即給目標用戶發送消息，提高互動轉化。 3. 即時交接通知 - 當 AI 鎖定或互動完畢，透過即時通訊軟件（如 Telegram／Slack 等）把用戶資訊推送給我，方便人工接手跟進。 技術要點 • openclaw 接口整合，保證可持續維護與擴充。 • 需處理裝置指紋、代理、限速等反爬要素。 • 代碼註釋清晰，文檔包含部署說明與常見問題。 交付內容 - 可運行的腳本／微服務（支援 Docker 為佳） - 配置說明與快速啟動文檔 - 一週內的基礎技術支持（協助排除安裝與運行問題） 如你對 TikTok 自動化、反風控及 openclaw 二次開發有經驗，歡迎提出實施方案與時間表。

I want to partner one-on-one with someone who can teach while we build production-ready AI for Quality Management System governance. I already hold Microsoft 365 Copilot (Enterprise) and Confluence with the Rovo add-on, and I intend to leverage both environments side-by-side. The learning path I have in mind starts with the essentials—standing up Copilot Studio and Rovo chatbots so I grasp the core concepts—then pivots quickly into full agentic AI that supports the entire QMS lifecycle: process reviews, governance controls, gap detection and improvement recommendations. Expect highly practical, hands-on coding sessions where we screen-share, write prompts, wire up data sources, test integrations with Teams and Confluence pages, and iterate live. Ideal guidance includes: &bull...

I need practical, immediately usable guidance on squeezing the most value out of Claude while keeping its answers solid. The single metric I care about is resource efficiency—fewer tokens burned, lower compute usage, and smarter prompt or parameter choices that leave performance intact. Here’s what I’m after: • A clear, step-by-step approach I can repeat: how to structure prompts, manage context windows, and tune parameters so each call costs less. • Concrete examples drawn from your own experience showing before-and-after savings. • Any lightweight scripts or dashboards you rely on to track usage and spot waste. Please center your proposal on the experience you have making large-language-model workloads leaner; that will be the main factor in my se...