Nlp tokenizationpekerjaan

...the technical lead for an integrated ecosystem of 12 interconnected websites, with strong ties to finance, MFOs, private clubs and investors. The project includes both: Rebuilding existing sites (currently in WordPress ), and creating new sites and interfaces on a shared modern architecture. Project Goal Design and implement a unified technical architecture for 12 ecosystem websites (RWA tokenization, MFO, investor clubs, AI, MCP, etc.). Gradually move away from a “WordPress everywhere” approach towards: a shared backend in Node.js/TypeScript, and modern frontends in React/Next.js. Strengthen security, consistency, and prepare for a future central application and mobile apps. Target Stack Backend Node.js + TypeScript ( or similar). REST and/or GraphQL APIs. Authen...

...or official API) as well as my WhatsApp messages, the only content it should actually condense and report is the WhatsApp conversation stream; email access is purely so the system can sit in the background ready for future extensions. Key points to build in: • Secure sign-in to Yahoo Mail and WhatsApp (QR pairing / Meta Cloud API or a dependable open-source library). • Local or server-side NLP that extracts key topics, action items and unanswered questions from WhatsApp messages, then formats them into a short human-readable paragraph. • Daily trigger at a configurable hour; if the device is offline, the summary must queue and send as soon as the connection returns. • Simple command set (e.g. “/summary now”, “/pause”, “...

...check your availability and interest. Position: Data Annotator Language: Thai (Native – Thailand only) Engagement: 6 hours per day (flexible working hours) Project Duration: 2-4 weeks Rate: $5- $7 per hour About the Role In this role, you will support the improvement of AI systems by reviewing and creating Thai language data. Your contributions will help train large language models (LLMs) and other NLP tools. Key Responsibilities • Create or edit grammar explanations, sentence examples, and language notes • Identify and resolve issues related to grammar, clarity, or potential bias • Review AI-generated content for fluency, tone, accuracy, and correctness • Label and annotate text with linguistic details such as meaning, context, and structure •...

...availability and interest. Position: Data Annotator Language: Malaysian (Native – Malaysian only) Engagement: 6 hours per day (flexible working hours) Project Duration: 2-4 weeks Rate: $5- $7 per hour About the Role In this role, you will support the improvement of AI systems by reviewing and creating Malaysian language data. Your contributions will help train large language models (LLMs) and other NLP tools. Key Responsibilities • Create or edit grammar explanations, sentence examples, and language notes • Identify and resolve issues related to grammar, clarity, or potential bias • Review AI-generated content for fluency, tone, accuracy, and correctness • Label and annotate text with linguistic details such as meaning, context, and structure •...

...availability and interest. Position: Data Annotator Language: Vietnamese (Native – Vietnam only) Engagement: 6 hours per day (flexible working hours) Project Duration: 2-4 weeks Rate: $6- $7 per hour About the Role In this role, you will support the improvement of AI systems by reviewing and creating Vietnamese language data. Your contributions will help train large language models (LLMs) and other NLP tools. Key Responsibilities • Create or edit grammar explanations, sentence examples, and language notes • Identify and resolve issues related to grammar, clarity, or potential bias • Review AI-generated content for fluency, tone, accuracy, and correctness • Label and annotate text with linguistic details such as meaning, context, and structure •...

...check your availability and interest. Position: Data Annotator Language: Thai (Native – Thailand only) Engagement: 6 hours per day (flexible working hours) Project Duration: 2-4 weeks Rate: $5- $7 per hour About the Role In this role, you will support the improvement of AI systems by reviewing and creating Thai language data. Your contributions will help train large language models (LLMs) and other NLP tools. Key Responsibilities • Create or edit grammar explanations, sentence examples, and language notes • Identify and resolve issues related to grammar, clarity, or potential bias • Review AI-generated content for fluency, tone, accuracy, and correctness • Label and annotate text with linguistic details such as meaning, context, and structure •...

...check your availability and interest. Position: Data Annotator Language: Thai (Native – Thailand only) Engagement: 6 hours per day (flexible working hours) Project Duration: 2-4 weeks Rate: $5- $7 per hour About the Role In this role, you will support the improvement of AI systems by reviewing and creating Thai language data. Your contributions will help train large language models (LLMs) and other NLP tools. Key Responsibilities • Create or edit grammar explanations, sentence examples, and language notes • Identify and resolve issues related to grammar, clarity, or potential bias • Review AI-generated content for fluency, tone, accuracy, and correctness • Label and annotate text with linguistic details such as meaning, context, and structure •...

I’m launching a brand-new NLP coaching practice and need a WordPress site that convinces visitors to become clients. Before we write a single line of code, I want to see polished mockups that capture the look, flow, and tone of an expert yet approachable service brand. Once those visuals feel right, we can move straight into development. Core scope • Aproximately 6 pages —Home, About, and Contact... • Mobile-first, responsive layouts, built on WordPress with a lightweight, SEO-friendly theme (Elementor, Gutenberg, or similar is fine as long as it remains easy for me to edit later). • Fast loading, accessible design, and clean typography that reflects a professional coaching vibe. • Contact page must include a working form and the option to drop...

...Publication Date (Gregorian and Hebrew calendar) Dynamic Pricing Engine: * Prices calculated automatically based on selections * Configurable discount rules (example: 10% off when selecting all areas) * Pricing editable in settings File Upload: * Upload high-resolution images or PDFs linked to each order Payment Integration: * Secure credit card processing (Stripe, Cardknox, or similar) * Tokenization to allow saved cards for returning customers * Option to mark paid manually if needed Invoices: * Automatic PDF invoice generation * Automatic email delivery to customers Order History: * Customers can view past orders * “Duplicate Last Order” button for repeat advertisers --- 2. SMART CUSTOMER DATABASE (CRM FUNCTIONALITY) Persistent Customer Profiles: Each ...

...application that turns a plain-English prompt into a working Ansible playbook for network devices—initially focused on FortiGate firewalls and, later, routers and switches. Here’s the flow I need you to implement end-to-end: 1. A user lands on the site, logs in with a simple username-and-password form, and types a request such as “open port 443 on HQ FortiGate and back up the config.” 2. Your NLP/ML layer interprets that sentence and autogenerates a complete, syntactically correct Ansible script or playbook. 3. The script is returned to the frontend for the user to review. 4. The UI then prompts the user to confirm or edit the target hosts, which can be pulled either from an inventory file on disk or a database table—whichever you wire up. ...

I need structured, beginner-friendly coaching that will take me from “hello world” to employable in Natural Language Processing. My goal is to understand core NLP concepts, build a small portfolio of projects, and feel confident discussing them in interviews. I already code a little in Python but have no formal NLP background. I’d like to cover the foundations—tokenisation, embeddings, transformers—then progress to hands-on mini-projects using libraries such as spaCy, Hugging Face, TensorFlow or PyTorch. Guidance on best practices for data preprocessing, model selection, evaluation and error analysis is essential, along with tips on how to present this work in a résumé or GitHub repo. Deliverables I have in mind: • A personal...

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...risky SEO experiments—no URLs, slugs, or taxonomies may change. Deliverables • New WordPress theme or custom child theme installed and fully styled (corporate, no flashy colour overload). • Core Web Vitals in the green on both mobile and desktop after launch. • Existing categories, tags, and product links preserved. • AI optimisation layer added: schema markup, FAQ/How-To rich snippets, NLP-friendly headings, and recommended prompt areas for ChatGPT-style assistants. • Thorough pre-/post-launch SEO audit to confirm rankings remain stable. • Staging environment for approval, followed by a smooth roll-out to live with zero downtime. Acceptance criteria 1. No 404 errors or indexing drops seven days after launch. 2. Lighthouse per...

Every Friday a scraper delivers around 350 fresh rows of residency calls, open-call exhibitions, grants, and commissions into my master spreadsheet. I need an AI layer that can read each record, weigh its value to practicing visual artists, and retu...assistant can batch-process new rows every week without extra engineering. Acceptance criteria 1. Prompt processes sample file end-to-end and returns JSON or CSV with “Score” and “Rationale” columns. 2. Weighting logic is documented clearly enough for a non-coder to tweak. 3. Accuracy spot-checked on at least 50 rows shows sensible, differentiated scores aligned with the criteria above. If NLP libraries, Python, or Airtable scripts make things easier, feel free to incorporate them—just keep the set...

...full ownership of designing and building an AI-driven chatbot from the ground up. At this stage I have a clear business need for an intelligent assistant but I’m open to your recommendations on the exact feature set, tech stack, and deployment channel. Here’s what I’ll rely on you to handle: • Scoping: translate my high-level objectives into a practical bot roadmap and recommend the most suitable NLP or LLM framework (e.g., Python with LangChain, Node.js, Dialogflow, Rasa, or another option you trust). • Architecture & Build: create the conversational flows, implement the model logic, and wire up any required APIs or data sources. • Training & Fine-tuning: curate or generate sample data, then train, test, and iterate until the bot re...

...calls (appointment confirmations, reminders, lead follow-ups, collections) • Transfer the call to a human agent when required This is NOT a keypad IVR. The assistant must understand natural spoken language from callers and respond with a natural-sounding voice. Technical Scope: • SIP/VoIP integration using Asterisk or FreeSWITCH • Real-time Speech-to-Text • Text-to-Speech voice responses • LLM/NLP based conversation handling • Call recording and call logs • Basic web admin panel Budget: The genuine project budget is as mentioned in the posting. It may be extended if required based on technical justification and developer recommendations, subject to management approval. Important: Please apply only if you have prior experience with VoIP syste...

You are a senior cybersecurity + machine learning engineer. Build a practical, runnable, end-to-end Transformer-based Web Application Firewall (AI-WAF) prototype suitable for Smart India Hackathon / ISRO SIH demonstration. The system must implement the full pipeline: Log Ingestion → Parsing → Normalization → Tokenization → Transformer Training → Multi-Class Attack Classification → Anomaly Scoring → Real-Time Non-Blocking Inference → Alerting & Logging → Incremental Fine-Tuning ======================================== 1. CORE FUNCTIONAL REQUIREMENTS ======================================== A. Multi-Class Attack Detection The Transformer model must classify HTTP requests into: - BENIGN - SQL_INJECTION - XSS - COMMAND_INJECTION - ...

I’m completing my MTech at GTU and my approved thesis topic is sentiment analysis of hotel reviews collected from major online review websites such as TripAdvisor and Booking.com. I need a data-savvy NLP partner who can work with me across the full research pipeline—from harvesting the raw reviews to writing up publish-ready results. Here’s what I have in mind: • Build and share a reproducible scraper or API workflow that gathers a sizeable, legally usable corpus of hotel reviews (ideally 50 000+). • Clean, label, and explore the text so we can isolate meaningful sentiment signals; I’m open to focusing on customer satisfaction, service quality, room amenities, or any mix that produces the most insightful output. • Develop both baseline key...

...Zoho, I want an AI layer that can automatically handle common interactions so my team only steps in when a human touch is truly required. Scope of work • Connect WhatsApp Business, RingCentral, and my email domain to Zoho CRM so every new message or call is logged against the correct contact. • Build AI-driven automated responses inside Zoho (using Zoho’s native Zia tools or a third-party NLP engine if you prefer) that can: – Answer routine customer inquiries in real time – Send timely follow-ups when a lead goes quiet – Offer appointment slots and confirm bookings – Check submitted documents for completeness and request missing items – Prompt customers for payments, update them on payment status, and tag in...

A Generative AI Expert designs, develops, and deploys AI systems that can generate content such as text, images, code, audio...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 Technical Skills Python (must) Machine Learning & Deep Learning NLP (Natural Language Processing) Transformers & LLM architecture Prompt Engineering LangChain / LlamaIndex Vector Databases (Pinecone, FAISS) API Integration Docker & Cloud Deployment Tools & Platforms OpenAI API Hugging Face TensorFlow / PyTorch A...

I need an end-to-end AI agent that automatically scouts freelancing websites, general job boards, and specialised training platforms for roles or courses that involve artificial-intelligence work. The agent must: • Crawl and scrape the relevant pages in real time or on a frequent schedule. • Apply NLP or other classification techniques to decide whether a posting is truly AI-related, then tag it by sub-domain (e.g. vision, NLP, MLOps, prompt-engineering). • Deliver concise, deduplicated listings to me through an in-app notification feed—no email or SMS required. For the deployment side I’m open to Python (Scrapy, BeautifulSoup, Selenium), Node, or any stack you are comfortable with so long as it is containerised and can run unattended on a sma...

...availability and interest. Position: Data Annotator Language: Vietnamese (Native – Vietnam only) Engagement: 6 hours per day (flexible working hours) Project Duration: 2-4 weeks Rate: $6- $9 per hour About the Role In this role, you will support the improvement of AI systems by reviewing and creating Vietnamese language data. Your contributions will help train large language models (LLMs) and other NLP tools. Key Responsibilities • Create or edit grammar explanations, sentence examples, and language notes • Identify and resolve issues related to grammar, clarity, or potential bias • Review AI-generated content for fluency, tone, accuracy, and correctness • Label and annotate text with linguistic details such as meaning, context, and structure &bu...

...availability and interest. Position: Data Annotator Language: Vietnamese (Native – Vietnam only) Engagement: 6 hours per day (flexible working hours) Project Duration: 2-4 weeks Rate: $6- $9 per hour About the Role In this role, you will support the improvement of AI systems by reviewing and creating Vietnamese language data. Your contributions will help train large language models (LLMs) and other NLP tools. Key Responsibilities • Create or edit grammar explanations, sentence examples, and language notes • Identify and resolve issues related to grammar, clarity, or potential bias • Review AI-generated content for fluency, tone, accuracy, and correctness • Label and annotate text with linguistic details such as meaning, context, and structure &bu...

...availability and interest. Position: Data Annotator Language: Vietnamese (Native – Vietnam only) Engagement: 6 hours per day (flexible working hours) Project Duration: 2-4 weeks Rate: $6- $9 per hour About the Role In this role, you will support the improvement of AI systems by reviewing and creating Vietnamese language data. Your contributions will help train large language models (LLMs) and other NLP tools. Key Responsibilities • Create or edit grammar explanations, sentence examples, and language notes • Identify and resolve issues related to grammar, clarity, or potential bias • Review AI-generated content for fluency, tone, accuracy, and correctness • Label and annotate text with linguistic details such as meaning, context, and structure &bu...

...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 neatly rewritten version of every assigned w...

I'm seeking an experienced NLP developer to build a real-time pipeline that ingests text streams via API in JSON format. The primary purpose is sentiment monitoring. Key requirements: - Classify sentiment and categorize events - Output calibrated confidence levels - Deduplicate and validate data using rules - Log all activities for production Ideal skills and experience: - Proficient in NLP and machine learning - Experience with real-time data processing - Strong knowledge of API integration - Familiarity with data validation and logging techniques Please provide relevant portfolio and experience.

... or regulated environments. This project is not just implementation — we need expert guidance to determine whether it is better to build the DCR in-house or use an existing commercial solution. What we need We want the expert to help us with: 1. Design a Data Clean Room architecture o Secure data ingestion from third parties o Isolation of datasets o Privacy-preserving matching (hashed IDs, tokenization, etc.) o Controlled analytics and outputs only (no raw data sharing) 2. Evaluate Build vs Buy o Compare building from scratch vs existing solutions o Pros/cons, cost, scalability, vendor lock-in o Examples of real-world implementations 3. Technology recommendations o Cloud or hybrid architecture o Tools for privacy, access control, encryption o Possible use of BigQuery, Snow...

... or regulated environments. This project is not just implementation — we need expert guidance to determine whether it is better to build the DCR in-house or use an existing commercial solution. What we need We want the expert to help us with: 1. Design a Data Clean Room architecture o Secure data ingestion from third parties o Isolation of datasets o Privacy-preserving matching (hashed IDs, tokenization, etc.) o Controlled analytics and outputs only (no raw data sharing) 2. Evaluate Build vs Buy o Compare building from scratch vs existing solutions o Pros/cons, cost, scalability, vendor lock-in o Examples of real-world implementations 3. Technology recommendations o Cloud or hybrid architecture o Tools for privacy, access control, encryption o Possible use of BigQuery, Snow...

I am building an NLP-driven application that can read digital copies of paper medical charts and automatically return accurate ICD-10-CM codes. The records you will be working with come from scanned paper documents that have already been converted to text, and they include the full chart—discharge summaries, progress notes, lab results, essentially every page we receive. The tool must achieve three things in a single workflow: 1. Generate ICD-10-CM codes that reflect the latest official guidelines, AHA Coding Clinic updates, and HCC risk-adjustment requirements. 2. Validate that supporting documentation is present and flag any gaps. 3. Suggest concise, guideline-compliant physician queries when the record lacks the specificity needed for proper risk capture. Because th...

...poder programar citas y, una vez confirmadas, lanzar recordatorios mediante notificaciones dentro de nuestra app. Para reservar, tiene que solicitar de forma natural el nombre del paciente, la fecha y hora preferida y el tipo de tratamiento que desea. Con esos datos, validará disponibilidad en nuestro calendario (puedo facilitar la API) y dejará la cita registrada en nuestro CRM. Quiero un motor de NLP en español—Dialogflow, GPT-4, Rasa u otro equivalente—capaz de entender dudas frecuentes y reconducir siempre a la conversión. La velocidad de desarrollo es prioritaria, pero sin comprometer la estabilidad ni la posibilidad de escalar a nuevos canales en el futuro. Entregarás: • Chatbot totalmente funcional integrado en web y ap...

...poder programar citas y, una vez confirmadas, lanzar recordatorios mediante notificaciones dentro de nuestra app. Para reservar, tiene que solicitar de forma natural el nombre del paciente, la fecha y hora preferida y el tipo de tratamiento que desea. Con esos datos, validará disponibilidad en nuestro calendario (puedo facilitar la API) y dejará la cita registrada en nuestro CRM. Quiero un motor de NLP en español—Dialogflow, GPT-4, Rasa u otro equivalente—capaz de entender dudas frecuentes y reconducir siempre a la conversión. La velocidad de desarrollo es prioritaria, pero sin comprometer la estabilidad ni la posibilidad de escalar a nuevos canales en el futuro. Entregarás: • Chatbot totalmente funcional integrado en web y ap...

...concise, keyword-rich title tag and meta description that stay within pixel limits, while keeping the language persuasive and brand-appropriate. Fine-tune header tags (H1-H3) so they align with my target terms without sounding forced. • Content Optimisation Rework on-page copy for relevance, readability, and semantic variety. I want the text to flow naturally for visitors yet satisfy Google’s NLP preferences (entities, LSI keywords, etc.). No fluff—every sentence should earn its place. • Internal Linking Introduce or adjust internal links that guide users deeper into the site and reinforce topical authority. Anchor text must feel organic and complement the overall keyword strategy. Once complete, provide a brief change log plus the final on-page H...

My goal is to push our Natural Language Processing stack forward by continually scouting, testing, and refining state-of-the-art models in three core areas: text generation, sentiment analysis, and machine translation. Scope of work — Track current research and emerging repositories (Hugging Face, arXiv, GitHub) to spot promising architectures and training techniques. - klaud8 / hrm ai / chat gpt / claude — Spin up controlled experiments in Python using PyTorch/TensorFlow, comparing baseline performance with fine-tuned variants on representative datasets. — Optimise inference speed, memory footprint, and prompt-engineering workflows so models transition smoothly from notebook to production API. — Document findings in concise experiment reports and integra...

...engine, design an intuitive front-end, and wire everything together with robust APIs. Think drag-and-drop creation, reusable templates, realtime previews, and seamless connections to popular third-party tools so that users can publish or integrate their results without touching code. On the AI side I’m open to the mix you feel best suits the goal—classical machine-learning pipelines, contemporary NLP techniques, or computer-vision components—provided they slot cleanly into a modular framework that can grow over time. To keep us both aligned, here’s how I see the first milestone: • A clickable prototype showing the user journey from blank canvas to exported output. • Backend scaffolding with at least one working model endpoint. • Clear d...

I need an end-to-end AI-driven system that turns my existing customer list into fresh sales opportunities. The core goal is to increase sales by automatically sending tailored messages through both email and WhatsApp. Here’s what has to h...conversion into actual orders. – Clear metrics so I can see revenue impact, not just vanity stats. • Speed & hand-off – I need the first working version ASAP, with iterative polish after I test it on a small segment. – Final delivery includes all source code, API keys set in .env, and a short Loom or PDF walkthrough so I can run campaigns without your help. If you have solid Twilio, NLP/LLM prompting, and marketing automation experience, this should be straightforward. Let’s move fast an...

...expect: • Core email-cleanup engine with safe-delete and bulk-archive logic • Workflow automation module (documentation handling, routine process triggers) • Calendar sync service with reminder system • Tone-aware email rewriter + grammar checker • Prioritization layer and concise web or desktop dashboard with API access Technologies like Python, Node.js, serverless functions, and modern NLP/LLM frameworks (e.g., OpenAI, LangChain, spaCy) are welcome—just outline your stack and show me previous, relevant AI work. Deployable code, clear documentation, and a short demo video will complete acceptance. If you can bring this intelligent, professional-grade assistant to life, let’s talk timelines and milestones. I already have the layou...

... and billing must be fully automated. Security & Compliance Requirements: Bank-level encryption (AES-256) GDPR-compliant data handling Secure authentication & authorization Role-based access control Scalable cloud infrastructure Preferred Tech Stack (Flexible): Frontend: React / Vue / Backend: Node.js / Laravel / Python Database: PostgreSQL / MySQL AI Integration: OpenAI or equivalent NLP models Hosting: AWS / GCP / DigitalOcean APIs: RESTful & scalable architecture Ideal Freelancer / Team: Proven experience with AI-driven platforms or SaaS products Strong UI/UX design skills for premium, professional interfaces Experience with ATS systems, job platforms, or HR tech (big plus) Ability to deliver clean, well-documented, production-ready code Commitment to security,...

...research and implement state-of-the-art AI techniques • Ensure data quality, security, and model performance optimization Required Skills & Qualifications: • 10+ years of experience in AI/ML or Software Engineering roles • Strong proficiency in Python and data processing libraries (NumPy, Pandas) • Hands-on experience with TensorFlow, PyTorch, Scikit-learn • Strong understanding of Deep Learning, NLP, Computer Vision • Experience with Model Deployment & MLOps pipelines • Experience working with Cloud platforms (AWS / Azure / GCP) • Strong knowledge of Data Engineering & Big Data tools • Experience with REST APIs and Microservices • Excellent analytical and communication skills • Experience with Generative AI and ...

...engaging, lab-style sessions on AI, NLP, and machine learning. The audience will be under-grad and post-grad students who already code in Python but have limited exposure to real-world AI pipelines. Scope The program should span three core tracks—an approachable “Introduction to AI & ML,” a set of “Hands-on NLP Projects” that let students build something tangible, and a closing block on “Advanced Machine Learning Techniques” that shows them what’s possible beyond the basics. Because the colleges have explicitly asked for hands-on labs rather than slide-only lectures, your material needs to revolve around live coding, interactive notebooks, and short build-and-test cycles. Required expertise • Solid command of P...

...slides are meant for my professors and academic advisors, so depth, academic rigor, and proper citations matter just as much as clear visuals. I’m a bioinformatics student, so I’d like the content to balance technical accuracy with accessible explanations I can comfortably present. Think of it as a concise mini-lecture: start with a brief introduction to AI methods (machine learning, deep learning, NLP where relevant), then break down their specific applications in each omics field, highlighting real-world case studies, recent papers, and any notable algorithms or software (e.g., DeepVariant, AlphaFold, MetaboAnalyst). Close with current challenges, ethical considerations, and future directions. Deliverables • Editable .pptx (≈15–20 slides) with h...

...and interpretation so the insights are both rigorous and clearly actionable. The core task is straightforward: ingest the raw text files I provide, clean and structure them appropriately, then run exploratory and statistical analyses that reveal key themes, sentiment trends, and any significant correlations you uncover. Feel free to use Python with pandas, NumPy, NLTK, spaCy, or other standard NLP and data-analysis libraries—whatever you are most comfortable with as long as the workflow is reproducible. Because I don’t have a hard deadline, quality and clarity matter more than speed. You will deliver: • Well-commented notebooks or scripts that walk through each analysis step • A concise report (PDF or Markdown) explaining the methodology, main findings,...

...agents. Provide real-time responses to frequently asked questions. Allow easy integration with websites and messaging apps. Features Natural Language Processing (NLP) for human-like responses. Trainable on company FAQs and knowledge base. Multilingual support (for example, English and Hindi). Escalation to a human agent when AI cannot answer. Deployment on Website, WhatsApp, and Telegram. Analytics dashboard to monitor chats and performance. Tools and Technologies Python (Core Programming Language) Flask or FastAPI (Backend Development) HTML, CSS, JavaScript (Frontend for website integration) NLTK, spaCy, or OpenAI API (NLP capabilities) MongoDB or Firebase (Database for chat history) Twilio API or WhatsApp Business API (Messaging integration) Deliverables...

Lead AI / Fullstack Engineer — Project "AZIZA" (Voice-to-Voice AI) ​Project Name: AZIZA Format: Project-based / Remote (with access to local GPU clusters) Tech Stack: PersonaPlex (Moshi-based architecture), PyTorch, TensorRT-LLM, FastAPI, WebRTC, Telegram Mini App (TMA). Hardware Location: Uzbekistan & Turkey clusters powered by NVIDIA L40S ​Project Overview ​AZIZA is an innovative multimodal "Speech-to-Speech" (S2S) ecosystem designed to simulate natural human interaction. We are building an AI assistant that seamlessly transitions between roles: an expert tutor (Chemistry, History, Biology), an empathetic companion, and a simultaneous translator. By processing audio tokens directly, the system achieves unprecedented interaction speeds. ​Current Status: The ...

...based on the FAQs I already maintain. All of the knowledge you will use lives in plain text (.txt) files. You will ingest those files, build the intent/answer mapping, and deploy the finished bot to my Facebook Messenger account so every new question triggers the correct response without my intervention. I am open to the platform or stack—whether you prefer Dialogflow, ManyChat, a custom Python NLP script, or another Messenger-approved tool—as long as the result is reliable and easy for me to update when I add or modify a line in the FAQ text. Deliverables • Fully functioning Messenger bot connected to my Page • Logic that reads the provided text files and serves the right answer • Simple fallback that flags any unrecognized question for manua...

...report showing accuracy, precision, recall and F1 on a held-out set • Exported model weights and a small inference script or API endpoint for batch prediction Trained embeddings (e.g., BERT, RoBERTa) are acceptable, but if you opt for lighter models please ensure comparable performance. Provide any custom preprocessing utilities you write. When you reply, focus on your experience with similar NLP or text-classification projects—model choices you have implemented, datasets you have handled, and any production deployments you have managed....

...– Rewrite titles, metas, headings, and schema to match the strategy. – Fix indexation, internal linking, and any crawl bottlenecks through Tag Manager and Yoast. • Off-Page & Local Authority – Develop a white-hat backlink plan, citation cleanup, and GBP optimisation to strengthen local signals. • Campaign Management & Automation – Use ChatGPT / Gemini for drafts, SurferSEO for NLP scoring, and Meta Ads Manager plus Canva creatives to amplify pillar content. • Analytics & Reporting – Set up GA4 dashboards that track rankings, traffic, and lead conversions. – Provide clear weekly updates so we can adjust on the fly. Acceptance criteria 1. All critical technical errors resolved and verifie...

...– Rewrite titles, metas, headings, and schema to match the strategy. – Fix indexation, internal linking, and any crawl bottlenecks through Tag Manager and Yoast. • Off-Page & Local Authority – Develop a white-hat backlink plan, citation cleanup, and GBP optimisation to strengthen local signals. • Campaign Management & Automation – Use ChatGPT / Gemini for drafts, SurferSEO for NLP scoring, and Meta Ads Manager plus Canva creatives to amplify pillar content. • Analytics & Reporting – Set up GA4 dashboards that track rankings, traffic, and lead conversions. – Provide clear weekly updates so we can adjust on the fly. Acceptance criteria 1. All critical technical errors resolved and verifie...

...helping us create and implement the following: • An adoption roadmap that ties specific AI capabilities to each stage of our workflow and project milestones, showing where automation, prediction, or generative content delivers the most value. • A reasoned “why this, not that” selection of tools—think Hugging Face transformers versus OpenAI GPT-4, TensorFlow or PyTorch for model training, spaCy for NLP, Vision APIs for image tasks—plus rapid prototypes that prove the choice. • Drop-in reference implementations or micro-services that slot straight into our existing Node/Express back end. • Plain-language docs and two-minute screen-share videos so community groups, national NGOs, and global partners can run with the tech on their own....

...documents. This glossary will capture preferred terms, spelling variants, and institutional language patterns and will later be used to enforce consistency in AI generated outputs. Before committing to development, I am seeking a paid one hour consultation with an experienced AI or NLP professional to validate what is realistically achievable, what is not, and how such a system should be phased. This engagement is advisory only. No coding or implementation is expected at this stage. What I am looking for An applied AI or NLP expert with real world experience in text processing projects, ideally involving multilingual or Arabic language content. The right consultant should be able to think critically and pragmatically, not sell automation hype. Scope of the consultatio...

...Summary About scalenowAI () scalenowAI is a unified enterprise platform that brings delivery, collaboration, knowledge, AI, search, and learning into one place. It integrates: • OpenProject – project and work management • OpenWebUI – AI-powered interaction and insights • Nextcloud – secure file sharing and collaboration • XWiki – knowledge and standards • YaCy – enterprise search (NLP / intranet search) • Moodle – learning and user enablement All tools work together as one system to help users work better, find information easily, and learn in the flow of work. Job Description We are looking for an experienced Moodle LMS specialist to create user-facing learning courses for the scalenowAI platform. User guid...