Procesamiento de Lenguaje Natural Jobs

Necesito poner en marcha un asistente virtual que atienda nuestro número de WhatsApp Business y resuelva de inmediato las consultas frecuentes que llegan cada día. El objetivo es claro: cuando el cliente escriba, el bot debe identificar su duda y ofrecer la respuesta adecuada sin que tengamos que intervenir. Las respuestas deberán redactarse siempre en español y mantener un tono amistoso, cercano y claro. Yo aportaré un archivo con todas las preguntas frecuentes y sus respuestas sugeridas, además de las credenciales o acceso al proveedor que usemos para la integración (API oficial, Twilio, ManyChat, Dialogflow, etc.). Entrego: • Base de preguntas frecuentes con sus respuestas. • Acceso al número de WhatsApp Business. ...

Quiero implementar una solución de inteligencia artificial que responda automáticamente los mensajes que recibo en mis canales de Facebook, Instagram y WhatsApp (todos bajo el ecosistema Meta). Objetivo – Reducir el tiempo que invierto contestando consultas. – Mantener un tono cercano y adaptado al contexto de cada usuario; no busco respuestas genéricas, sino réplicas personalizadas basadas en el contenido del mensaje entrante. Alcance del proyecto 1. Integración API: Conectar la IA a las APIs oficiales de Facebook Messenger, Instagram Direct y WhatsApp Business. 2. Motor de respuesta: Configurar un modelo (por ejemplo, GPT, Dialogflow u otra alternativa que recomiendes) capaz de: • Analizar la intención del mens...

I want an AI-powered interactive chatbot that keeps me on track with spaced-repetition study and helps me improve my long-form, subjective answers. It should run in the browser and as a desktop app, sharing a single user account and database so I can switch devices without losing progress. The core flow I have in mind: • The system schedules questions using a proven spaced-repetition algorithm (SM-2 or equivalent) and presents them through a friendly chat interface. • I type my full answer; the chatbot uses NLP to highlight strengths, missing points, tone, or structure, then suggests concrete ways to refine the response. • All attempts, feedback, and review intervals are stored so the dashboard can show accuracy trends, time spent, and next-due items. Key deliverables ...

we want you to built a phone assistance system for voice and chat and there are many features to build. • Answering questions in real time • Setting reminders and alarms with contextual follow-ups • Making calls and sending messages hands-free • Language translation on demand and many many other features Beyond those must-haves, I’m open to additional smart features you can suggest and implement as long as they blend seamlessly into the same voice interface. The ideal workflow: 1. Architect the solution (cloud or on-device), outlining key tech such as Python, TensorFlow, Dialogflow, Twilio, or any stack you believe is best for low-latency, privacy-minded processing. 2. Deliver a functional demo—APK, iOS TestFlight build, or hardware prototype...

I need a small-footprint system that automatically finds local businesses on Google Maps, pulls their contact data through the Google Maps Platform APIs, and then has an AI agent write and send personalised marketing emails that promote my service. The core objective is simple: increase each business’s visibility while simultaneously introducing them to what I offer. To do that, the agent must be able to search by location, category and rating, gather relevant business details, draft a tailored message and dispatch it by email—all in one streamlined flow. I am open to your preferred stack, though I expect tight integration with Google Maps Platform (Places API, Geocoding, etc.), a reliable emailing service (Gmail API, SendGrid or similar), and an NLP engine such as OpenAI...

I run a food-and-beverage store and want customers to receive instant answers on WhatsApp, day or night. The bot must handle the usual questions—ingredients and nutrition facts, real-time pricing and stock status, plus any active special offers or discounts—and reply in clear, conversational language within seconds. Key requirements • 24/7 WhatsApp Business (or Twilio API) chatbot that greets the user, understands free-text queries, and serves the above details automatically. • Product data should flow in from my existing database; once I update a record, the new information must be reflected in replies without manual intervention. • Fast setup and low friction for both the customer and me; no separate app or login required on their side. • Simple beh...

SPPARKAL – AI Sewing Machine Maintenance Assistant Develop a voice-based mobile app called SPPARKAL for sewing machine maintenance and troubleshooting. The user should speak naturally and describe the machine problem. The app should convert speech to text, identify the language and problem, match it with a pre-fed and approved SPPARKAL troubleshooting database, and provide step-by-step guidance in the same language. Initially support Marathi, Hindi and English. The AI should only understand, classify and match the user's problem; it must not invent technical solutions. All troubleshooting procedures will be pre-fed and structured with problem name, symptoms, safety instructions, steps, user responses, next steps and escalation. The app should maintain conversation context and...

I’ve wrapped up a new YouTube video on editing techniques and now I need a set of clean, casual-sounding captions that sync perfectly from start to finish. I’ll share the final cut (under ten minutes) along with a rough transcript; what I’m after is the polished version—accurate timing, natural line breaks, and wording that matches the relaxed vibe of the talk. You’re free to work in Subtitle Edit, Aegisub, or any tool you trust as long as the exported file lands in standard .srt (or .vtt) format and follows YouTube’s recommended character limits per line. Please keep technical terms exactly as spoken, note any unclear audio with a quick [inaudible] tag, and avoid guesswork on jargon. Deliverable • Fully time-coded .srt or .vtt file, ready for i...

I’m building a web-based appointment scheduling platform and need it developed end-to-end with an AI layer that does more than just chat. The conversational assistant is the heart of the project. It should: • recognise natural language requests, • pull live data from the booking database, I’m open to the stack you’re most productive with—React, Vue, or similar for the front end; Node, Django, or Laravel on the back; plus a proven NLP framework like Dialogflow, Rasa, or direct OpenAI API calls. What matters is that the chatbot experience feels native, with zero page reloads and secure hand-offs to the scheduling engine. Key deliverables • Deployment to my hosting of choice with setup scripts • Clear documentation covering codebase, environme...

I’m building and need an end-to-end engagement engine inside GoHighLevel. The purpose is clear: turn every new enquiry into an active conversation that ends with the user pressing the “Request Quote from Venue” button. Here is what I need from you: • Map and build the CRM structure in GHL – custom fields, pipelines and tags – so every prospect is automatically tracked from first touch to final quote request. • Draft and load a multi-step nurture journey that blends email, SMS and scheduled social posts. All copy must be in natural, idiomatic English and reflect our brand voice. • Set up the triggers, webhooks and conditions that move a contact through the journey based on behaviour (opens, clicks, replies, site visits). • Use C...

Filipino/Tagalog Voice Tester & Translator (Freelance) Position: Native Filipino Voice Tester & Localization Translator Type: Ongoing Freelance / Remote Project: AI Voice Product About the Role We are seeking native Filipino (Tagalog) speakers to join our AI voice project. You will support phone testing, localization translation, and messaging connectivity checks to ensure our product delivers a natural, high-quality experience for Filipino users. Responsibilities Phone Testing: Participate in AI/human outbound call testing, evaluate voice quality, naturalness, and accuracy Localization Translation: Translate product content between Filipino (Tagalog) and English/Chinese, ensuring cultural appropriateness and linguistic accuracy Messaging Testing: Conduct voice and SMS connectivity...

you must built AI-driven phone assistant system that can pick up, understand, and respond to callers in 40 languages—English, Spanish and Chinese being the first three on the list. MVP is only 50% of the work there nany other features What the assistant must already do in this MVP • Detect the caller’s language automatically and switch voice synthesis accordingly. • Handle the three key interaction types I’ve selected—Appointment scheduling, Sales inquiries, Customer service—with natural, conversational flow. • Confirm or book appointments directly into Google Calendar (or a similar calendar API) while emailing or texting confirmations to the client. • Log sales or service requests to a simple CRM endpoint (a REST webhook is fin...

I need a self-hosted script that automatically reads every new Instagram post in my feed (no restrictions to hashtags or accounts) and then leaves a thoughtful comment that ties directly to the caption’s wording. The automation must rely only on code I can run on my own machine or server—no cloud services, commercial schedulers, or other third-party apps. Core logic • Pull each fresh post and extract the full caption text. • Run lightweight text analysis/NLP to understand the main topic or sentiment. • Generate a short, human-sounding reply that feels relevant to that text. • Publish the comment instantly through the official Instagram Graph API or another method that stays within Instagram’s policy limits. Deliverables 1. Fully commented s...

I’m building an Android-only mobile app and I need a self-contained AI “command skill” that works purely through typed input. The goal is simple: when a user enters a natural-language request in a text field, the skill should recognise intent, extract any required parameters, and hand the result back to the main app so we can trigger the correct feature or workflow. Here’s what matters most to me: • Accurate intent recognition on common, short queries as well as longer, conversational text. • Fast response times; round-trip latency under a second when using a cloud NLP service, or comparable speed when running locally with a lightweight on-device model. • A clean Android interface (Java or Kotlin—your choice) that exposes one callable fun...

Freelance — Real-Time Streaming STT (Web) Existing prototype, deployed and tested in real conditions. Not a rebuild — we need it hardened. What runs today: a commercial streaming STT API over WebSocket (EU-hosted, provider chosen — named in private exchange), wrapped in a shared JS module. Mic capture and PCM 16 kHz streaming via Web Audio API, custom vocabulary, free-form French dictation parsed into structured lines and matched against an internal catalogue. Vanilla JavaScript, no framework, no build step; Firebase Realtime Database; PWA on smartphone. What we need: Reliability in noisy conditions — false finals on silence reach the application layer. Endpointing, thresholds, confidence handling. Securing the API key — currently client-side, needs a serv...

I need an AI-driven bot that takes the heavy lifting out of recruiting by automatically recommending the best-fit candidates for each open role. The bot’s single, measurable outcome is simple: generate a ranked shortlist so I can move straight to interviews instead of wading through piles of résumés. Here’s the workflow I have in mind. A hiring manager uploads or points the system to application data—CV PDFs, LinkedIn profile links, or any structured form we decide to support. Your model then parses, normalises, and enriches that data, evaluates each applicant against the role description, and returns a clear, ordered list with confidence scores plus a quick justification (skills matched, years of experience, keywords, etc.). Weightings for experience, ed...

Project Title Senior Privacy Research Engineer — NLP Anonymisation & De-Identification (R&D Contract) Category / Skills tags Python, Natural Language Processing, Machine Learning, Data Privacy, Algorithm Development, Artificial Intelligence, Research, Named Entity Recognition (NER) Project Type Full-time or heavy part-time contractor engagement. Open to individuals, teams, or agencies — please make clear in your bid who would actually be doing the work and how continuity is maintained if more than one person is involved. Bidders should propose their own rate and estimated timeline based on the scope below. Description We're building a privacy-preserving enterprise AI governance platform (UK patent-pending) and are hiring for the research-critical slice of th...

i want someone to write me trasncripts in kannada like below in the same format related to loan related conversations { "valid_conversation": true, "turns": [ { "turn": 1, "previous_agent_utterance": "ನಮಸ್ಕಾರ ಸರ್, ಎಬಿಸಿ ಫೈನಾನ್ಸ್‌ನಿಂದ ಕಾಲ್ ಮಾಡ್ತಿದ್ದೀನಿ. ಹೋಮ್ ಇಂಪ್ರೂವ್ಮೆಂಟ್ ಲೋನ್ ಬಗ್ಗೆ ಆನ್‌ಲೈನ್‌ನಲ್ಲಿ ವಿಚಾರಿಸಿದ್ದೀರಾ?", "customer_utterance": "ಹೌದು ಸರ್, ಕೋಲಾರದಿಂದ ಮಾತಾಡ್ತಿದ್ದೀನಿ, ನನ್ನ ಹೆಸರು ಅನಂತ್. ಮನೆ ನವೀಕರಣ ಮಾಡಲು ಹೋಮ್ ಇಂಪ್ರೂವ್ಮೆಂಟ್ ಲೋನ್ ಬೇಕಿತ್ತು.", "new_information": true, "field_updates": { "requested_loan_type": "Home Improvement Loan", "customer_location": "ಕೋಲಾರ", "customer_name"...

I’m looking to have an AI chatbot built whose sole purpose is to answer user questions by pulling facts from publicly available websites in real time. Core requirements • Develop the chatbot engine—natural-language understanding, dialogue management, and response generation. • Implement a crawler or API-based scraper that fetches content from selected public websites, cleans it, and stores it in a searchable format (vector store, database, or other approach you recommend). • Design an information-retrieval pipeline that ranks and cites the most relevant passages so answers can be traced back to their sources. • Provide a simple web interface or API endpoint so the bot can be embedded later in my site or app. Key considerations – Accurac...

I’m building a truly offline-first note-taking experience for Android. The app will receive audio snippets (WAV only) sent from a wearable pendant, save them locally, then handle everything on-device: • Transcribe the recording as soon as it arrives. • Pass the text through a compact on-device LLM to create a short, coherent summary. • Store both the transcript and the summary in a local vector index so I can run keyword searches or open a Chat-style interface to ask questions about my past notes. No cloud calls are allowed at any point—airplane mode must not break any function. I’m comfortable with solutions such as or Vosk for speech-to-text and or similar for the LLM, as long as the final APK keeps all models on the handset and latency stays reas...

AI Desktop Digital Assistant for Energy Performance Inspectors (Greece) Software Requirements Specification (Draft) 1. Project Goal Develop a Windows Desktop AI assistant for Civil Engineers performing Second EPC (B' EPC) quality control and Exoikonomo project verification. The software supports the engineer and does not replace professional judgement. 2. Platform Windows Desktop application, local installation, local project storage, offline mode whenever possible, optional Cloud AI, Internet connection, integrated 'Check for Updates' button and modular architecture. 3. Project Folder Workflow Users simply copy project files into a project folder. The software automatically detects, classifies and links documents without manual import. 4. Supported Files PDF, scann...

I need an end-to-end AI phone assistance system with many features that can take over our customer support and sales line, greet callers naturally, recognise what they are saying, route them to the right department when needed, and resolve common questions on the spot by pulling answers from a dynamic FAQ. Alongside the phone workflow, I also want a hybrid chatbot that can hold the same conversation either by text or voice on our website and mobile app, so customers experience one consistent support channel whether they call in, type, or speak through their microphone. Key capabilities we must see in the finished solution: • Automated call routing driven by intent detection • Accurate voice recognition with low latency • Shared FAQ/knowledge-base handling for bot...

I want to automate the most time-consuming parts of our U.S. dental revenue cycle with AI-driven bots. The immediate focus is on four key billing activities: • Claims submission • Payment posting • Insurance verification • Eligibility checks The bots must work smoothly inside our existing practice-management software and log in to the major insurance company portals we use every day. If an API is unavailable, screen automation or other reliable work-arounds are acceptable as long as they remain HIPAA-compliant and error-resilient. I’m not fixed on one type of AI; whether you lean on traditional rule engines, machine-learning models, natural-language processing, or a hybrid approach, I’m open to the method that gives the highest accuracy and speed...

1. Set up the project foundation – Initialize the project repository, environment configuration, and basic application structure for the Generative AI system. 2. Design the user interaction layer – Create a simple interface or API that allows users to upload documents and ask natural language questions. 3. Implement document ingestion – Enable uploading and processing of enterprise documents in multiple formats such as PDF, TXT, CSV, or Excel. 4. Prepare data for semantic search – Convert processed document content into chunks suitable for embedding and retrieval. 5. Build a vector-based knowledge store – Generate embeddings and store them in a vector database to support semantic similarity search. 6. Implement intelligent document retrieval – Retrieve t...

I’m building a small web app that lets a visitor enter a few pieces of personal information, drop a policy PDF onto the page and, within seconds, receive a clear data-table showing the policy’s benefits and coverage limits. Phase 1 is simple yet critical: get this working flawlessly on my own site. I need you to wire together the PDF ingestion, AI/NLP extraction, and a clean table output that is also sent to our back-office database so my team sees the same results instantly. Accuracy on “Policy Benefits” and “Policy Coverage Limits” is key; anything outside those two fields can be ignored for now. Once that core flow is stable, Phase 2 will package the same logic into a lightweight widget (JavaScript snippet or iframe—whichever loads fastest...

I’m running a one-hour recording session on Microsoft Teams to collect conversational dialogue that will feed directly into a voice-recognition training dataset. Because the system we are refining targets North-American pronunciation, I need native U.S. English speakers only. During the call you and another participant will hold a relaxed, natural conversation built around corporate-training scenarios—think workplace policies, onboarding experiences, and similar topics. No reading from a script; I’m after spontaneous speech that still feels professional. What you’ll deliver • Attend a single 60-minute Teams meeting at the scheduled time • Use a quiet environment and a decent headset or built-in mic so the audio is clear • Follow a short prompt...