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I have a growing pipeline of AI-driven products that need to move from idea to production over the coming year. Every project centres on developing brand-new applications, so I’m looking for engineers who can own the full lifecycle: turning raw data into a reliable, cloud-hosted model and keeping it healthy in the wild. The work spans three core domains—Natural Language Processing, Computer Vision, and Predictive Analytics—and typically involves: • Data preprocessing and cleaning • Model development and training (Python, TensorFlow or PyTorch preferred) • Containerised deployment and continuous monitoring (Docker/Kubernetes, AWS or GCP) You’ll step into projects such as conversational agents, visual quality-inspection tools, and forecasting eng...
I am building an AI-powered assistant for our campus that can understand students and staff no matter how they reach out—typed messages, spoken questions, or even photos of notice boards and forms. The core job is to create the full conversational system, wire it to our existing data sources, and make sure it remembers context across an entire back-and-forth so users never feel they are starting over. What the bot must handle • Course information, timetables, and key dates • Event details and real-time updates • A searchable staff directory with contact methods • Personal student info that sits behind login (e.g., enrollment status, fees) Essential capabilities • Accept text, convert voice to text (and optionally reply with TTS), and extract text ...
I need a reliable, repeatable way to run large batches of text data through a processing pipeline. The raw material typically lands in a folder as plain TXT or CSV files; once the script starts it should pick everything up, work through each file one after another, and write the processed results to a clearly named output directory. Core expectations • The workflow is fully automated: one command should launch the entire run. • Processing steps are modular so I can easily switch individual stages on or off later. • It must cope with thousands of lines per file without crashing or slowing to a crawl. • Clear logging to show each file’s status and any errors that occur. • Clean, well-commented source code plus a short README explaining setup and usag...
I am building an AI-driven chat bot whose core job is health monitoring for both patients and healthcare providers. The conversation layer needs to track vital-sign data, send timely medication reminders, and walk users through symptom checking in plain language. Think of it as a virtual nurse that can interpret readings from connected devices, flag anomalies, and escalate critical results to clinicians while also giving patients easy-to-follow guidance. You will take the lead on: • Designing conversational flows that capture vitals (blood pressure, heart rate, SpO₂, glucose, etc.) and respond intelligently to out-of-range values. • Implementing medication reminder logic with flexible scheduling, snooze, and confirmation that doses were taken. • Building a symptom-che...
Saya ingin memiliki sebuah asisten virtual berbasis pemrosesan bahasa alami yang mampu: • Menjawab pertanyaan pengguna secara cepat, akurat, dan relevan • Berfokus pada pertanyaan umum sehari-hari • Beroperasi 24/7 dalam Bahasa Indonesia Ruang lingkup kerja meliputi: 1. Perancangan arsitektur NLP yang stabil (model, pipeline, serta mekanisme pembaruan data). 2. Pembuatan prototipe fungsional—cukup melalui antarmuka chat berbasis web atau aplikasi ringan; yang penting pengguna dapat langsung mencoba. 3. Integrasi pengetahuan dasar serta mekanisme fallback ketika pertanyaan di luar cakupan muncul. 4. Pengujian kecepatan respons, akurasi, dan kemudahan penggunaan. 5. Dokumentasi singkat cara deployment serta panduan pemeliharaan. Saya terbuka pada berbagai ...
Saya ingin memiliki sebuah asisten virtual berbasis pemrosesan bahasa alami yang mampu: • Menjawab pertanyaan pengguna secara cepat, akurat, dan relevan • Berfokus pada pertanyaan umum sehari-hari • Beroperasi 24/7 dalam Bahasa Indonesia Ruang lingkup kerja meliputi: 1. Perancangan arsitektur NLP yang stabil (model, pipeline, serta mekanisme pembaruan data). 2. Pembuatan prototipe fungsional—cukup melalui antarmuka chat berbasis web atau aplikasi ringan; yang penting pengguna dapat langsung mencoba. 3. Integrasi pengetahuan dasar serta mekanisme fallback ketika pertanyaan di luar cakupan muncul. 4. Pengujian kecepatan respons, akurasi, dan kemudahan penggunaan. 5. Dokumentasi singkat cara deployment serta panduan pemeliharaan. Saya terbuka pada berbagai ...
I want to put an AI tutor in every algebra student’s pocket. To make that happen, I need you to design and code a Retrieval-Augmented Generation pipeline that can understand a question, pull the most relevant snippets from my curated algebra textbooks, formula sheets, and problem sets, then explain the answer step-by-step with rock-solid reasoning. Here is what success looks like from my side: • A working RAG stack (embeddings → vector database → LLM) wired together with modern tooling such as LangChain, LlamaIndex, or an approach you can justify. FAISS, Pinecone, Weaviate, or similar are fine for the vector layer; OpenAI, Claude, Llama 2/3, or comparable models may drive generation. • Retrieval tuned for high recall and low latency—students should see a...
I need an automated chatbot that can handle customer support queries directly inside our existing mobile app. The bot should greet users, understand common questions about our services, and deliver accurate, friendly responses without human intervention. Where answers fall outside its knowledge base, it must smoothly escalate to our live support queue so no conversation is ever dropped. Key deliverables: • Dialog flow design covering all current FAQs, account issues, and order-status checks • Natural-language understanding setup (Dialogflow, IBM Watson, or similar) with intent and entity training • Seamless SDK integration for both iOS and Android versions of the app • Simple admin panel or JSON file for my team to update responses without code changes • H...
I want to build a custom large-language model that goes beyond text-only chat. The goal is a predictive engine that can read free-form text, combine it with numerical features, and return forward-looking insights. In practice that means designing an architecture able to embed and fuse both modalities, training it on my mixed dataset, and validating that the model can reliably forecast the target variables we care about. You will take me from data preprocessing through to an inference-ready checkpoint. I expect clean Python code (PyTorch or TensorFlow), sensible use of the Transformers or similar libraries, and a clear explanation of why each modelling choice was made. Please include evaluation notebooks that show the lift over conventional baselines and provide an API-style script so I ca...
Lead Gen tool. looking to build an automated system (agent/tool) that identifies and qualifies potential franchise partners in the mortgage financing sector across Switzerland. The system should discover leads from public sources, apply intelligent filtering, and send personalized outreach emails in the correct language (German, French, or English)—with minimal manual input. This is not a one-time list-building task. The goal is to create a repeatable, scalable lead-generation engine that we can run independently. Primary Objective Develop an automated workflow that: 1. Finds relevant professionals in Switzerland and other countries 2. Filters them based on defined criteria 3. Generates qualified leads 4. Sends personalized outreach emails 5. Logs everything in a str...
At , we have been dedicated to crafting innovative digital solutions since 1998, leveraging cutting-edge technologies like AI and Blockchain to drive success for our clients across the United States. As we continue to expand our services and enhance our offerings, we find ourselves needing support in managing our increasing customer interactions efficiently within the U.S. market. Our goal is to implement effective business process outsourcing (BPO) projects, particularly focusing on top-notch call center services that can help us maintain our high standards of customer satisfaction for clients throughout the United States. We believe that by partnering with the right U.S.-based service provider, we can not only streamline our operations but also elevate our client experience to new heigh...
We are looking for a talented frontend developer to bring our Figma designs to life by building a visually stunning, high-performance website using HTML, CSS, and JavaScript. This project involves translating Japanese content, so proficiency in Japanese is required. The ideal candidate will have a strong eye for design and be able to accurately replicate layouts while enhancing them with smooth animations and professional styling. Responsibilities: Convert Figma designs into clean, responsive HTML/CSS/JavaScript code Ensure pixel-perfect implementation aligned with the original design Translate Japanese content accurately into the website Implement modern UI animations and interactions Optimize for performance and cross-browser compatibility Requirements: Proven experience in frontend deve...
I want to launch a conversational practice bot that feels like a friendly language partner rather than a rigid tutor. The core flow starts with the bot itself proposing everyday scenarios—ordering a cup of chai at a Connaught Place café, asking an auto-rickshaw driver for directions, checking in at a hotel in Jaipur—and guiding the learner through the dialogue. As we talk, the system must recognise and respond to natural Hinglish, yet steer the learner gently toward polished, formal Hindi without sounding patronising. Right after each session, the same chat history should feed a dynamic quiz: the bot plucks out the trickier words or phrases (for example anubhav, prakriti), schedules them with spaced-repetition logic, and surfaces them in later chats until the learner sh...
I am looking to develop own ChatBOT without using any API. Here we have scope of work. • Personalized Learning Paths: Use AI algorithms to recommend courses or lessons based on each student’s goals, current proficiency, and performance data. For example, if a student struggles with verbs, suggest additional practice modules. The system could also suggest navigation paths (e.g., “next, take Hindi Grammar Essentials”). • AI Chatbot Tutor: Integrate an AI-powered chatbot (using NLP/LLM) for on-demand practice. For Hindi learning, the bot can simulate conversation, quiz the learner on vocabulary, or answer grammar questions. The chatbot can converse in Hindi/basic English to help practice reading and speaking. • Speech Recognition & Feedback: Leverage v...
Need someone that can figure out how to get backlinks exclusively with AI agents Here is a suggested workflow Conversation with Gemini How would you use AI agents to get local backlinks? In 2026, the transition from traditional search to Answer Engine Optimization (AEO) has shifted the value of local backlinks toward Entity Authority. Instead of just "blue links," AI agents now prioritize backlinks that prove your business is a trusted, real-world entity. Here is a technical workflow for using AI agents to acquire high-authority local backlinks. 1. Autonomous Local Prospecting (The "Researcher" Agent) Instead of manual searches, you can deploy agents to identify "unlinked local entities" where your business should be mentioned. The Workflow: Use a no-cod...
I have two parallel needs that can start immediately. First, I’m digitising a batch of documents. Your task here is straightforward data entry: lift the information from the files I provide and place it into the matching fields of an online form. Accuracy is critical, so I’ll review submissions as they come in, and I expect everything returned by the agreed deadline. If you are reliable and comfortable with basic computer work, this part will be easy for you. The larger portion of the project is the creation of a voice-driven AI assistant that runs natively on a Windows laptop. It must: • Wake on a hot-key or spoken trigger and understand natural-language voice commands. • Search the web, answer general questions, and perform quick look-ups locally. • Auto...
Busco a alguien con sólida experiencia práctica en inteligencia artificial que pueda impartirme formación individual en español a través de sesiones online. Ya poseo un nivel básico, pero quiero profundizar específicamente en: • Machine Learning • Procesamiento del Lenguaje Natural Mi meta es prepararme para poder formar, por lo que necesito un plan estructurado que combine teoría, ejercicios guiados y revisión de práctica con feedback claro. Necesito: – Clases en directo (videollamada) adaptadas a mi ritmo y horario. – Material de apoyo entre sesiones (lecturas, notebooks, sets de preguntas tipo examen). – Pequeños proyectos o retos que me ayuden a afianzar conceptos y...
I need an experienced Natural Language Processing specialist to build a predictive model that learns from text data and produces accurate, repeatable forecasts. The project centers on end-to-end model creation: cleaning and preprocessing raw text, selecting the right architecture, training, and evaluating performance against clearly defined metrics. I will supply the text dataset along with the target variable I want predicted. You will decide on the most suitable NLP approach—whether that’s classical techniques with scikit-learn or a deep-learning stack such as TensorFlow or PyTorch—document your reasoning, and implement the solution in clean, well-commented Python. Deliverables: • Reproducible code (Jupyter notebook or .py files) with setup instructions • ...
I want to put Anthropic’s Claude AI at the heart of my daily real-estate workflow. The goal is simple: I should be able to talk to Claude in natural language and have it pull or push information from three key places—my MLS feed, my current CRM, and my email-calendar suite—without me jumping between apps. Here is what I need the system to do once it is live: • MLS: fetch new and updated listings from my feed, summarize property data and market changes, and allow me to ask follow-up questions (“Show me all new three-bedroom listings under $800k added since Monday,” etc.). • CRM: read and write lead details, update deal stages, add notes from call transcripts, and trigger follow-up actions when I ask Claude. • Email & Calendar: draft a...
I’m building ViewSeek AI as a full-featured web application that puts advanced artificial intelligence directly in the browser. The core of the product is AI itself, so every major workflow must be driven by machine-learning models and thoughtful UX. Here is what the first release needs to deliver: • Image recognition that can tag, classify and return metadata in near real-time. • Natural language processing so users can type questions, receive context-aware answers and carry on multi-turn chats (“Asking AI”). • Predictive analytics modules that surface trends or recommendations based on uploaded data sets. • Generative tools capable of creating both images and short video clips from text prompts, with download options in common formats. All ...
We need an experienced AI developer to build an automated phone answering system that integrates OpenAI's conversational models with Twilio's telephony platform. This system will handle incoming calls using natural language AI to engage with callers. Requirements: • Proven experience with Twilio API integration, specifically Programmable Voice and TwiML • Hands-on experience with OpenAI API (ChatGPT or similar models) • Knowledge of telephony protocols (SIP, WebRTC, PSTN) • Experience with voice-based AI applications and speech recognition • Strong skills in error handling and fallback mechanisms for AI responses • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) • Understanding of NLP techniques and frameworks Deliverables: &bul...
I need help deploying my H200 GPUs specifically for machine learning tasks using PyTorch, with a focus on Natural Language Processing (NLP) models. Key Requirements: - Set up the H200 GPUs for PyTorch - Optimize the environment for NLP tasks - Ensure scalability and performance Ideal Skills: - Experience with H200 GPUs - Proficiency in PyTorch and NLP - Strong background in machine learning deployment
AI & MACHINE LEARNING TRAINING MANUAL DEVELOPMENT We are urgently seeking a highly qualified Expert Trainer to develop a comprehensive, hands-on Manual and deliver specialized training to Customs of an African country. This project aims to enable the beneficiary organization to autonomously design, optimize, and deploy AI/ML solutions for risk management and customs clearance efficiency. Scope of Work: Develop curriculum and content focusing on advanced technical modules, including: Data Science & Machine Learning: Deep Learning and Python Data Science foundations. Generative AI & LLMs: Advanced Prompt Engineering, Fine-tuning, NLP/Transformers, and API Deployment (LangChain). Methodology: Emphasize practical application, real-world customs use cases, and Capstone projects (...
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...
Rural Chatbot – AI-Based Government Scheme Discovery Platform I developed a smart chatbot system designed to help rural users easily discover and understand government schemes they are eligible for. The platform solves a major real-world problem: most people in rural areas struggle to find relevant government schemes due to complex websites, lack of awareness, and language barriers. Key Features: • Personalized Scheme Recommendation – Users get schemes based on their profile (age, income, state, category, occupation) • Intelligent Chatbot – Users can ask questions in natural language and receive accurate answers • Eligibility Checker – Instantly shows schemes a user qualifies for • Multilingual Support – Supports English and Hindi for be...
Quiero desarrollar un sistema de finanzas personales que me permita registrar cada gasto simplemente enviando un mensaje —de voz o escrito— a mi número de WhatsApp. La idea es que el bot transcriba, entienda el importe y la descripción, y asigne automáticamente la categoría correcta (Alimentación, Transporte o Entretenimiento) valiéndose de IA y NLP. Una vez almacenados, esos datos deben verse reflejados en un dashboard claro y atractivo donde pueda: • visualizar gráficos de rendimiento en tiempo real, • consultar un resumen mensual detallado, y • recibir alertas cuando un rubro exceda el límite que yo defina. Me interesa una solución robusta, basada en la API de WhatsApp Business, con un ...
The project will be crafted from scratch and must feel as refined as any top-tier SaaS product. A clean Material Design aesthetic guides every screen, so visual polish goes hand-in-hand with smooth interactions. Core functionality is driven by three AI capabilities working together: • Natural Language Processing for conversational and content-generation tasks • Predictive Analysis that surfaces insights from user data in real time • Computer Vision for image understanding and automated tagging I plan to run these through OpenAI, Anthropic, or a custom LLM stack—whichever you wire up most effectively—so experience orchestrating multiple providers is important. The back end lives in Python, ideally Django or Flask, with well-structured APIs that the fron...
I have a collection of scientific articles in text form and I want a clear, reproducible way to uncover the key themes and topics running through them. The core of the task is natural-language processing: ingest the articles, clean and normalize the text, then apply topic-modeling or similar techniques to surface the dominant concepts. My preference is a Python-based workflow—think spaCy, NLTK, gensim, BERTopic, or comparable libraries—but I’m open to whatever stack you feel will give the most coherent results. Visual summaries such as word clouds or interactive topic maps are definitely welcome if they help make the findings intuitive. Deliverables • Well-commented code or notebook that I can run locally without tweaks • A short methodological write-up ...
Budget : 3k -5k : architecture is alredy created !!!URGENT support IT's Debuging job your job is to work and cunsult me and my team I have a full-length company financial report that arrives only as a PDF file and I want to turn it into something my local LLM (running through Ollama) can understand and answer questions on with reliable accuracy. The goal is a hands-off pipeline: I drop a fresh PDF into a folder, run a command, and then query the model for any figure—whether it sits in the balance sheet, income statement, or cash-flow section—and get a clean, correct response every time. What I need built • A script (Python preferred) that parses the PDF, captures every table and key figure, and outputs a structured data store (CSV, JSON, or SQLite—wh...
Description I am building a research-driven job market analytics system (US market). This is not just a development project — it requires designing, executing, and evaluating data science experiments. The goal is to analyze job data and produce validated insights, not just build a working pipeline. Scope of Work The project includes: • Data processing of large job datasets (10k–50k+ rows) • Extracting technical skills (Python, SQL, AWS, etc.) from job descriptions • Salary analysis and estimation (validated using official BLS data) • Job demand trend analysis and forecasting • Building an interactive dashboard (Streamlit preferred) • Designing and executing research experiments with clear evaluation metrics Research Requirements (Core o...
I’m building an AI-driven web application that combines Natural Language Processing and Predictive Analytics to deliver real-time insights for end users. The stack is already defined: • Front-end: React.js • Service layer: Node.js • Core business logic: .NET (C#) microservices, Firebase • High-speed caching/pub-sub: Redis • Infrastructure & DevOps: Microsoft Azure (App Service, Functions, Container Apps, Azure SQL/Storage, and Redis Cache) Scope of work 1. Design a clean React interface that consumes RESTful and WebSocket endpoints. 2. Build scalable Node.js gateways that route traffic to .NET microservices and manage authentication/authorization. 3. Implement NLP and predictive models (Azure Cognitive Services or custom models) and exp...
My pathway already performs smoothly in text, but the moment we switch to voice a few critical problems appear. The system starts throwing spelling errors, misunderstands certain words, and the overall exchange stops sounding human-like. I need these pain points fixed so the voice experience feels just as polished as the text one. What I want improved • Spelling accuracy and consistent transcription • Better word understanding, especially in everyday speech • A natural conversation flow that doesn’t break when the user pauses or re-phrases Primary use-cases The pathway has to handle casual conversations and customer service inquiries without stumbling. Think quick back-and-forth chats where clarity and tone matter. Acceptance criteria • A/B voice tes...
Multilingual Voice Recording Project – Code-Switching Conversations Project Name: BV Project Type: Remote | Ongoing (Limited Slots per Locale) Project Overview Project BV is a multilingual speech data collection initiative designed to enhance Automatic Speech Recognition (ASR) systems for high-value multilingual call center scenarios, including financial services, healthcare, and telecommunications. The project focuses on collecting natural code-switching conversational audio, where speakers alternate between two languages within a single conversational turn. Scripts will be provided; however, natural delivery, fluency, and context-appropriate language switching are essential. Language Requirements Primary Language (Native level – one required): Dutch (nl-NL) ...
Multilingual Voice Recording Project – Code-Switching Conversations Project Name: BV Project Type: Remote | Ongoing (Limited Slots per Locale) Project Overview Project BV is a multilingual speech data collection initiative designed to enhance Automatic Speech Recognition (ASR) systems for high-value multilingual call center scenarios, including financial services, healthcare, and telecommunications. The project focuses on collecting natural code-switching conversational audio, where speakers alternate between two languages within a single conversational turn. Scripts will be provided; however, natural delivery, fluency, and context-appropriate language switching are essential. Language Requirements Primary Language (Native level – one required): European French ...
Multilingual Voice Recording Project – Code-Switching Conversations Project Name: BV Project Type: Remote | Ongoing (Limited Slots per Locale) Project Overview Project BV is a multilingual speech data collection initiative designed to enhance Automatic Speech Recognition (ASR) systems for high-value multilingual call center scenarios, including financial services, healthcare, and telecommunications. The project focuses on collecting natural code-switching conversational audio, where speakers alternate between two languages within a single conversational turn. Scripts will be provided; however, natural delivery, fluency, and context-appropriate language switching are essential. Language Requirements Primary Language (Native level – one required): Swedish (sv-SE) ...
Multilingual Voice Recording Project – Code-Switching Conversations Project Name: BV Project Type: Remote | Ongoing (Limited Slots per Locale) Project Overview Project BV is a multilingual speech data collection initiative designed to enhance Automatic Speech Recognition (ASR) systems for high-value multilingual call center scenarios, including financial services, healthcare, and telecommunications. The project focuses on collecting natural code-switching conversational audio, where speakers alternate between two languages within a single conversational turn. Scripts will be provided; however, natural delivery, fluency, and context-appropriate language switching are essential. Language Requirements Primary Language (Native level – one required): European French ...
Multilingual Voice Recording Project – Code-Switching Conversations Project Name: BV Project Type: Remote | Ongoing (Limited Slots per Locale) Project Overview Project BV is a multilingual speech data collection initiative designed to enhance Automatic Speech Recognition (ASR) systems for high-value multilingual call center scenarios, including financial services, healthcare, and telecommunications. The project focuses on collecting natural code-switching conversational audio, where speakers alternate between two languages within a single conversational turn. Scripts will be provided; however, natural delivery, fluency, and context-appropriate language switching are essential. Language Requirements Primary Language (Native level – one required): Canadian French ...
Multilingual Voice Recording Project – Code-Switching Conversations Project Name: BV Project Type: Remote | Ongoing (Limited Slots per Locale) Project Overview Project BV is a multilingual speech data collection initiative designed to enhance Automatic Speech Recognition (ASR) systems for high-value multilingual call center scenarios, including financial services, healthcare, and telecommunications. The project focuses on collecting natural code-switching conversational audio, where speakers alternate between two languages within a single conversational turn. Scripts will be provided; however, natural delivery, fluency, and context-appropriate language switching are essential. Language Requirements Primary Language (Native level – one required): European Portugu...
Multilingual Voice Recording Project – Code-Switching Conversations Project Name: BV Project Type: Remote | Ongoing (Limited Slots per Locale) Project Overview Project BV is a multilingual speech data collection initiative designed to enhance Automatic Speech Recognition (ASR) systems for high-value multilingual call center scenarios, including financial services, healthcare, and telecommunications. The project focuses on collecting natural code-switching conversational audio, where speakers alternate between two languages within a single conversational turn. Scripts will be provided; however, natural delivery, fluency, and context-appropriate language switching are essential. Language Requirements Primary Language (Native level – one required): Brazilian Portuguese (pt-BR)...
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