Natural Language Processing Jobs

I’m building a Python solution that automatically flags spam in my personal inbox. The pipeline should read raw message text, run it through classic NLP cleaning—then let a Naive Bayes model trained on TF-IDF features decide what is junk and what I actually want to see. I will be working exclusively with publicly available email corpora, so nothing proprietary needs to be handled. Key pre-processing I need implemented: • Tokenization • Stopwords removal • Stemming or lemmatization The stack is already chosen: Scikit-learn, Pandas and NumPy under Python. Once training is complete, I’d like a concise script or notebook that can: 1. Load a fresh batch of .eml or plaintext messages. 2. Output a CSV (or similar) labeling each as spam or ham. 3. R...

Overview: We are looking for an experienced Backend Developer / Systems Integrator to set up and configure a local MCP (Model Context Protocol) Server on a dedicated Windows PC. The goal is to bridge our local, on-premise SQL Database with AI tools (such as Microsoft Copilot, Claude Desktop, or Cursor) so we can query our database securely using natural language. Remote Access & Working Method (Important): Full Remote PC Access Provided: You will be given direct remote desktop access to our dedicated Windows PC using AnyDesk, TeamViewer, or UltraViewer to perform the entire installation and configuration. Database Access: We will provide you with a secure, Read-Only SQL credential strictly for testing the database connectivity from the MCP server. Technical Environment: Host OS: D...

I need an AI-powered chatbot embedded directly on my company website that can take over technical support conversations from first “hello” through problem resolution. The goal is full customer-service automation, so the bot should recognise common product issues, walk users through troubleshooting steps, and seamlessly escalate anything it cannot solve to our live team with a complete transcript. Here’s what success looks like to me: • A natural-language flow built with a robust NLP framework such as Dialogflow, Rasa, or IBM Watson, trained on our existing knowledge-base articles and past ticket logs. • Web widget integration that matches our branding and runs smoothly on desktop and mobile. • Real-time hand-off to Zendesk (or a lightweight ticketing...

We need a programmer to build a real time voice translation engine

I have mapped out a consumer-facing AI platform that blends natural conversation, real-time insights, and intelligent automation into a single web & mobile experience. The roadmap is clear, the market niche is validated, and I’m now ready to turn the concept into an MVP and beyond alongside a technical cofounder who brings deep expertise in AI. Core vision The product centres on three pillars: seamless user interaction and support through robust NLP, data analysis with intuitive visualisation, and automated decision-making that genuinely helps everyday users, not just enterprises. Under the hood we will combine Natural Language Processing, Computer Vision where it adds tangible value (e.g. image-based recommendations), and classic plus deep Machine Learning models to personalise...

I’ve drafted a 7,000-word in the social sciences and teaching with AI assistance and it now requires a full human pass. The goal is to transform every paragraph so the language flows naturally, the analysis reads as authentically scholar-written, and both Turnitin and Quillbot report 0 % AI detection with very low similarity. Beyond re-phrasing, the text must retain all original arguments, data interpretations, and citations while tightening clarity and coherence to standard peer-review expectations. Attention to nuanced academic tone, precise terminology, and smooth transitions is essential; any gaps or logical jumps should be flagged and, where possible, refined. Deliverables • Revised manuscript (Word ) ready for submission • Turnitin similarity report showing min...

I am building a fully self-hosted, real-time voice assistant on top of LiveKit. The system must ingest the caller’s audio stream, perform on-premise voice recognition, run natural-language processing with contextual comprehension, and respond intelligently as a first-line customer-support agent—all without relying on any third-party SaaS such as Vapi, ElevenLabs, or similar hosted APIs. Open-source or locally runnable models are fine; cloud subscriptions are not. Core flow • LiveKit delivers the audio track in real time. • Your pipeline converts speech to text, keeps multi-turn context, and routes it through an NLP layer capable of understanding intent and maintaining conversation state. • The agent then generates the textual reply that my existing interfa...

Will send the blue prints of all codes Ect All the source code and design schematics for my conversational bot are already complete; what I need now is the engineering expertise to turn that groundwork into a living, breathing application. The goal is to release one cohesive bot that can handle customer support queries, act as a personal assistant, and still feel natural enough for casual, social conversations. The finished product must be available everywhere users expect it: in a mobile app, a desktop build, and a browser-based interface. Core functionality includes real-time voice recognition, robust natural-language processing, and seamless hooks into external services and APIs so the bot can pull data or trigger actions beyond simple chat. You’ll receive my full code base, U...

I need a Telegram bot for customer service. The bot's main function is to assist customers. Key requirements: - Handle customer inquiries - Provide order updates - Offer account information Ideal skills and experience: - Proficiency in Telegram bot development - Experience in integrating customer service functionalities - Familiarity with natural language processing (NLP) is a plus - Strong problem-solving skills Please provide examples of previous work.

I will pay only 5 usd and Complete it in 2 hours I need a production-ready WhatsApp chatbot running on my own VPS (Ubuntu, root access available). The agent must rely on Ollama for its natural-language understanding so replies feel fully conversational rather than keyword-driven. Core functions • Customer support – the bot should recognise free-form questions and return helpful answers drawn from a knowledge base file or URL I will supply. • Order processing – customers must be able to check an order status, place a new order, or update an existing one. A simple REST hook to my back-office API is sufficient; I can extend it later. • Image generator – when a user requests an illustration (“/image a red sports car”), the bot should call a l...

I am building a point-of-care assistant that runs entirely on the practitioner’s own hardware. When a GP types in a patient’s history, symptoms, lab values or imaging notes, the agent must: • generate a differential that accurately diagnoses medical conditions, • recommend an evidence-based treatment plan, and • cite the latest peer-reviewed information so the doctor can quickly verify each recommendation. Scope of conditions The knowledge base has to span common illnesses, chronic diseases and rarer pathologies alike, so the logic that drives the model cannot be trimmed down to a few high-frequency complaints. I expect the same reasoning depth whether the query is seasonal rhinitis, Type 2 diabetes or a paraneoplastic syndrome. Keeping knowledge current...

I’m at the very beginning of turning a fresh Natural Language Processing idea into a publishable manuscript. My biggest need right now is a solid, up-to-date literature review—someone who can quickly map the existing work, spot gaps, and help me weave a compelling related-work narrative that positions our contribution clearly. Here’s what I have: the core concept and high-level objectives. What I still need: • A curated, annotated collection of the most relevant papers (top-tier conference and journal focus) • A structured related-work section drafted and ready to drop into the manuscript • Guidance on organising preliminary results so they align with the storyline we craft together If you’ve successfully shepherded NLP papers from idea to pub...

Use Case A: The Conversational WooCommerce ManagerInstead of relying solely on document drops, the agent acts as an on-demand, chat-based store manager. You or your staff can simply message the agent in natural language to execute catalog Input: You type a command into your Hermes chat interface or a connected Telegram bot (e.g., "Mark all nappies Size 4 nappies as Out of Stock" or "Update the retail price of Brand X toothpastes to $6.50"). The Reasoning: Minimax acts as the natural language parser. It reads your text, identifies the intent (Stock Update vs. Price Update), and extracts the exact product name and new value. The Execution: Max Hermes launches the headless browser, navigates to the WooCommerce wp-admin dashboard, searches for the specific product, adjus...

We are seeking a team to oversee the development and refinement of an Intelligent Wine Platform that unifies B2B wholesale procurement with an advanced, personalised consumer storefront. In this role, you will architect an operational data flow that ingests smart manifests and integrates data alignment from external market APIs / scraping, alongside text-sentiment NLP feedback overlays. You will own the core algorithmic matching logic—utilising a normalizsd Euclidean distance formula to power a vector database of precise user profiles—which drives features like dynamic visual match percentages, "Palate Stretch" discovery overrides, and automated CRM marketing segmentations. Additionally, you will be responsible for technical execution across two primary zones: an inte...

I need an AI-driven customer-support assistant that lives inside its own app and handles routine queries for our users 24/7. The goal is simple: reduce the load on our human agents while giving customers fast, friendly answers about orders, accounts, and general product information. Here’s the scope as I see it: • Conversation engine – build or integrate a large-language-model–based backend that can understand intent, pull answers from an FAQ knowledge base, and escalate to a live agent when confidence is low. • Front-end chat interface – a clean, responsive UI for both mobile and desktop access. Push-notification support for ongoing threads is essential. • Admin dashboard – view transcripts, tag new intents, retrain the model, and monitor...

I need a production-ready chat agent that can handle frontline customer support in real time, generating dynamic answers instead of fixed scripts. The bot must: • Draw live information from my customer database, product catalog, support articles, and a separate set of internal training documents. • Create quizes, or downloadable PDFs in the users chosen language • Interpret a user’s intent, pull the correct data, and reply conversationally in clear English. • Maintain context across a session, hand off to a human seamlessly when confidence drops, and log the full conversation for analytics. You are free to build with Dialogflow, Rasa, LangChain, OpenAI, or a comparable NLP framework as long as you can deploy it to our existing platform (JavaScript - SEEDL) a...

I need a hate speech detection code implemented using BERT embeddings and Graph Attention Networks (GAT). The data source will be forum comments. The model must achieve high accuracy. Requirements: - Implement hate speech detection using GAT - Utilize BERT for word embeddings - Source data from forum comments - High accuracy in detection is essential Ideal Skills: - Experience with BERT and GAT - Strong background in NLP and machine learning - Proficient in handling and processing forum comment data - Ability to optimize models for high accuracy

Start your proposal with the word "MOSHI-SPEED". If you don't, your bid will be automatically deleted as a bot response. We are looking for a Senior ML/AI Engineer to fine-tune our voice assistant built on the Moshi / PersonaPlex streaming audio architecture. The goal is to extend the model to support Russian + Uzbek (Latin/Cyrillic) while maintaining zero-latency native switching. What is already done: All datasets (instruction/dialogue formats) are fully prepared, cleaned, and ready for training. No data collection or labeling is required. Scope of Work: Tokenizer Audit & Extension: Optimize the tokenizer for the Uzbek language (both scripts). SFT Fine-Tuning: Apply LoRA/QLoRA adjustments using the provided datasets. Crucially, updates must change weights without...

I need an AI-powered inbound voice application that automates the entire medicine-ordering workflow by phone. As soon as a customer calls, the assistant should pick up, greet the caller, and use natural-language (Hindi & English or mix) understanding to capture drug names and quantities without forcing the caller into rigid menus. After confirming the items, the agent must gather the customer’s name, phone number, and delivery address, repeat the details for verification, then write everything—time-stamped order, caller ID, full transcript, and audio recording—into a central database that my fulfilment team can query in real time. The telephony layer can run on Twilio, SIP, or any comparable cloud voice stack, as long as calls reach the AI with minimal latency. For t...

FILTRO HUMANO OBLIGATORIO: Para confirmar que eres un desarrollador real y que has leído esto con atención, escribe la palabra "PINEAPPLE" en mayúsculas al principio de tu propuesta. Si no lo haces, serás descartado de inmediato por los filtros automáticos. Estoy buscando un desarrollador práctico con experiencia en la API de generación de imágenes de OpenAI (específicamente gpt-image-2) para corregir y optimizar un módulo crítico de mi SaaS llamado "Estudio IA" (dentro de la sección "Droppage"). El problema actual: Nuestro sistema genera bloques de imágenes para armar landing pages de 10 secciones consecutivas (Hero, Oferta, Antes/Después, Beneficios, Tabla Com...

Je souhaite faire développer une application mobile centrée sur l’intelligence artificielle, inspirée d’Instagram mais offrant une expérience nettement plus poussée. L’idée est de proposer un réseau social orienté photo-vidéo où l’IA amplifie la créativité des utilisateurs tout en ouvrant de nouvelles possibilités de monétisation et de suivi de performance. Fonctionnalités clés attendues : • Filtres avancés pour photos et vidéos : génération et ajustement en temps réel grâce à des modèles de vision par ordinateur (style-transfer, correction d’éclairage, effets 3D, etc.). • Opt...