Nlp tokenization jobs

I’m ready to collaborate with a stateside programmer who speaks and wr...and Retrieval-Augmented Generation (RAG) techniques, transforming ideas or research into clean, production-ready code. We will outline milestones together, but every sprint will share the same expectations: write maintainable code, test it thoroughly, push through Git, and discuss design decisions in real time during U.S. business hours. If you can point to recent projects that showcase deep ML, NLP, CV, or RAG expertise—and you enjoy rapid iteration—you’ll fit right in. When you reply, include a short note on your most complex AI build, a link to code or demos highlighting your Python, JavaScript, or Java skills, and your typical weekly availability. I’m set to start as soon as ...

I’m ready to add a smart, conversational layer to my site and need an experienced developer to take the lead. The goal is straightforward: create and deploy an AI-driven chatbot that feels native to the website experience and reliably handles visitor questions in real time. The primary focus here is true AI development....deployment, tested across modern browsers and mobile • A brief admin panel or config file allowing me to update intents, add FAQs, and view basic analytics • Documentation covering setup, customization, and model retraining steps I value clean, well-commented code and transparent communication throughout the build. If you have prior examples of live website chatbots—especially those driven by NLP rather than simple decision trees—p...

...Core: Automated e-commerce API scraping (Amazon, Flipkart) paired with background desktop XML accounting syncing modules. - Utility Framework: Fintech API pipelines for bill payments (BBPS) and webhook transaction logging. - Cross-Platform Frontend: Single Flutter codebase running smoothly at 60 FPS across 15 dynamic categories. - AI Voice Navigation: Native microphone integration connected to cloud NLP engines (Google STT / OpenAI Whisper) for instant page deep-linking. - Embedded Frames: Secure, frame-restricted integration of the TradingView Widget API for study purposes. Added Requirements on Cashback Feature: 1. Cashback Dashboard: Dedicated section highlighting pending/approved cashback details including total earnings from all transactions. 2. Referral Program: Users earn...

...interaction is logged automatically without any manual data entry. I only need straightforward rule-based flows: IVR menus for phone calls, and button- or keyword-driven replies on WhatsApp. Natural-language understanding is not required; speed, reliability, and clear routing rules are the priorities. Please propose the tech stack you’ll use (Twilio, 360dialog, Asterisk, Vonage, Dialogflow CX in “no-NLP” mode, or any other you prefer) along with the integration method for my existing CRM and ticketing tools. A brief outline of how you’ll handle testing and hand-over training will help me evaluate fit. Deliverables should include: • Fully configured call and WhatsApp workflows connected to my CRM and ticketing system • Clean, commente...

...performance, reliability, and cost optimization. * Provide technical leadership through architecture design, hands-on development, code reviews, troubleshooting, and mentoring. ## Required Skills * *8+ years of experience* in AI/ML engineering, architecture, and enterprise solution delivery. * Strong hands-on development experience with *Python*. * Expertise in *Machine Learning, Deep Learning, NLP, and Generative AI/LLMs*. * Strong experience with *RAG, embeddings, vector databases/search, prompt engineering, context engineering, and LLM evaluation*. * Experience with *Agentic AI and model orchestration frameworks*. * Strong hands-on experience with at least one major cloud platform: *Azure, AWS, or GCP*. * Experience with *MLOps/LLMOps, CI/CD, model deployment, monitor...

...must consistently reach at least 90 % accuracy on an independent validation set; precision and recall should be reported alongside overall accuracy so I can see how it performs on both real and fabricated pieces. The workflow I have in mind combines three parts: • an automated pipeline that scrapes or ingests fresh articles, cleans the text, and stores it in a structured format; • a robust NLP model—think transformer-based architecture fine-tuned on a well-curated fake-vs-real news dataset—trained and evaluated in Python with libraries such as PyTorch, TensorFlow or Scikit-learn; • a lightweight interface (REST API or simple web demo) that returns the probability of falseness plus the key features that influenced the decision for transparency. D...

...research fellows on demand. The core idea is simple: a user enters a topic, keyword, DOI or even an abstract snippet and instantly receives the most relevant peer-reviewed papers, neatly ranked with key metadata and brief AI-generated summaries. To make that happen, the tool should draw from open databases such as PubMed, arXiv, Crossref and any other free or licensed sources you recommend, then apply NLP techniques—semantic search, named-entity recognition, topic clustering—to surface only the most pertinent results. A clean web interface or a lightweight desktop app is fine; what matters is accuracy, speed and an intuitive workflow for researchers who will be using it daily. Key deliverables • Source-code repository with clear documentation • Working...

...• n8n will act as the orchestration layer. Your flows should pull in an NLP engine of your choice through n8n’s HTTP or pre-built OpenAI / Dialogflow nodes so intent detection and response generation happen seamlessly. • The agent must cover three core use-cases from day one—customer handling, lead qualification, and product queries—while remaining easy to expand into follow-ups and revenue tracking later. • I’m not yet certain whether our WhatsApp Business API is active. I’ll need you to audit our current setup, advise on any missing Meta Business Manager steps, and connect the final number to n8n once we’re ready. Success looks like 1. A fully documented n8n workflow (export JSON) that includes trigger, NLP proc...

...Offices FinTech-focused funds Crypto / Web3 / Blockchain funds / Digital Asset funds Perpetual/Derivatives/Stocks Exchange Strategic / Corporate investors Stablecoin investors Investors should have demonstrated investment interest or experience in: FinTech, Crypto, Blockchain, Web3, Digital Assets, Trading, Exchanges, Derivatives, Capital Markets, Financial Infrastructure, DeFi, Tokenization, RWA, Stablecoins, Brokerage, Securities, and related financial technologies. Required Data Each lead should include: Full Name Current Job Title Verified Professional Email Company / Fund Name Investor Type City & Country LinkedIn Profile URL Company/Fund Website Relevant investment sector Relevant portfolio company/investment Source confirming investme...

...payment verification and QR/pass-generation capability. 2. Scope of Work The solution must cover the following functional modules, all delivered through a single WhatsApp conversational flow: 2.1 Garba Event Inquiry • Bot should answer common questions: event dates, venue, timings, entry fees, dress code, rules, training schedule, contact details, etc. • Should support natural-language queries (AI/NLP-based understanding), not just rigid keyword menus. • Should offer a quick-reply menu (buttons/lists) alongside free-text understanding, so users can either type naturally or tap options. 2.2 Registration Process • Collect the same data currently captured via our Google Form: name, age/gender, mobile number, address, city, group/family size, etc. (final field lis...

I'm looking for a skilled Python Developer for a small project involving Python development, automation, and AI/LLM integrati...project involving Python development, automation, and AI/LLM integration. Spanish-language experience is especially important. The project will involve working with Spanish content and ensuring that AI-generated results, prompts, and workflows work accurately in Spanish. Requirements Strong Python skills Experience with APIs and automation Experience with OpenAI/LLM APIs Strong Spanish language and NLP experience Ability to work with Spanish prompts and content Clean and maintainable coding skills Good debugging and problem-solving skills Git/GitHub experience is a plus Budget & Engagement Budget: Around $150 Small project Potential for additi...

...Gap Analyzer Developed an AI-powered platform that analyzes resumes against company-specific job requirements. Implemented resume upload and skill extraction using NLP techniques. Built skill-gap analysis to identify missing and required skills. Added company/job-role based analysis and job-readiness scoring. Developed an assessment system with MCQ quizzes and coding tests. Implemented authentication, protected APIs, database integration, and backend services. Built using Node.js, , MongoDB, React.js, and Python/NLP. AutoPulse – Used Car Review Sentiment Analysis () Built an NLP-based system for analyzing customer reviews from used-car platforms. Collected and processed large-scale review data. Performed text preprocessing, cleaning, and sentiment

...must consistently reach at least 90 % accuracy on an independent validation set; precision and recall should be reported alongside overall accuracy so I can see how it performs on both real and fabricated pieces. The workflow I have in mind combines three parts: • an automated pipeline that scrapes or ingests fresh articles, cleans the text, and stores it in a structured format; • a robust NLP model—think transformer-based architecture fine-tuned on a well-curated fake-vs-real news dataset—trained and evaluated in Python with libraries such as PyTorch, TensorFlow or Scikit-learn; • a lightweight interface (REST API or simple web demo) that returns the probability of falseness plus the key features that influenced the decision for transparency. D...

...delivery slot, confirm the booking, and push the details back to our mobile-app backend so everything stays in sync. • Payment handling is out of scope for now; the customer will continue to pay through existing channels. The solution should plug into WhatsApp Business (using the official API or a provider such as Twilio), connect securely to our existing mobile-app database, and rely on a robust NLP engine—Dialogflow, Rasa, or a comparable framework—to understand natural language requests in both English and the local dialect we serve. I will supply sample conversations, price lists, and the current scheduling API endpoints for training and integration. Deliverables I expect: 1. A working WhatsApp chatbot deployed on my verified number and linked to the pr...

...merged cells, multi-page tables, borderless tables, and nested headers. Process multilingual documents, including Indian regional languages. Benchmark and select appropriate OCR engines based on document type and accuracy. 3. Data Extraction & Structuring Convert unstructured web/document content into structured datasets. Design and maintain data schemas. Use rules, regex, layout-aware extraction, NLP/NER, and LLM-assisted extraction where appropriate. Normalize dates, amounts, units, names, addresses, identifiers, and other inconsistent values. Implement deduplication and entity resolution. Maintain taxonomies, classification logic, and reference/master data. 4. Data Quality & Validation Build automated quality checks for completeness, accuracy, freshness, consistenc...

I’m building a cross-platform Flutter mobile app that relies on an “agentic” AI experience driven by natural-language processing. Your task is to own the full Flutter implementation and wire it up to my existing RESTful backend. The AI layer Users will interact with an in-app conversational assistant. You’ll call my NLP endpoint, manage streaming responses, and present them in a chat-style UI while gracefully handling latency, errors, and token limits. The architecture should keep the assistant logic modular so additional skills such as image recognition or predictive analytics can be added later without refactoring the core app. Backend connectivity Two API groups are already documented in OpenAPI (JSON): • Database management endpoints that del...

...drive sell-through, forecast demand at SKU and store level, and surface actionable insights for merchandising and marketing. I expect you to handle everything from data ingestion and cleaning through to model deployment, with clear documentation of assumptions and feature engineering steps. You may use Python (pandas, scikit-learn, XGBoost, Prophet, TensorFlow, or similar), SQL for warehousing, and NLP libraries such as spaCy or transformers for the text components. If you prefer R or another stack, I’m open as long as the final model meets the accuracy and interpretability goals. Deliverables • Cleaned and well-structured datasets ready for modelling • Reproducible notebooks / scripts showing EDA, feature engineering, and model training • A predictiv...

I plan to carry out original AI research with the clear intention of submitting the findings to a peer-reviewed conference or journal. The exact topic is still flexible, yet it will stay within a broad, cross-disciplinary “general AI” scope rather than being limited to NLP, Computer Vision, or Reinforcement Learning alone. I need a collaborator who can help shape the research question, set up experiments, analyse results, and co-author the manuscript to publication standard. Key phases • Literature mapping to identify a novel research gap • Experimental design and implementation (using Python, PyTorch / TensorFlow, or similarly capable stacks) • Rigorous evaluation with reproducible code and well-documented datasets • Full paper write-up&mdas...

I’m building a conversational assistant and need an AI engineer who can take charge of the full Natural Language Processing pipeline for high-quality, context-aware chatbot responses. The core of the project is text generation: designing, training, and fine-tuning a model that answers user prompts fluidly, stays on topic, and preserves an appropriate tone of voice. You’ll work with my existing dialogue data (plus any open-source corpora you recommend) to create a model that can: • Understand multi-turn context and user intent • Respond naturally in English without hallucinating facts • Respect soft constraints I’ll provide on length, formality, and persona Typical tools in this space—Python, PyTorch or TensorFlow, Hugging Face Transformers, a...

I need a full-featured payment gateway website that works the way and do, yet carries a fresh visual identity of its own. The core objecti...initiate and verify payments • Admin panel for me to approve merchants, manage fees, and monitor system health • Integration layer ready for popular processors (PayPal, Stripe, Square or equivalents) with the flexibility to swap in additional rails later • Clear documentation covering API, onboarding flow, and day-to-day operation Clean code, industry-standard security practices (SSL, tokenization, PCI-aware development) and smooth performance are non-negotiable acceptance criteria. If you have built gateways or complex fintech products before, please share a live link or demo credentials so I can see them in action.

...web portal; front-end work is minimal, but clean JSON in/out documentation is essential. You are free to leverage large-language-model APIs (e.g. GPT-4, Claude-3) or an open-source LLM fine-tuned with domain data, as long as you clearly state the stack. Python is preferred for orchestration, but I’m open to alternatives if there’s a compelling speed or cost advantage. Please factor in common NLP libraries—spaCy, LangChain, Hugging Face—and modern vector databases for retrieval-augmented generation if necessary. Turnaround is urgent; I need a functional MVP ASAP. A short demo video or live link that shows “data in, report out” will serve as acceptance criteria, accompanied by a concise setup guide so I can reproduce results locally or in t...

Setup complete profile & website for these consulting services GLG — largest expert network, deepest bench of finance/fintech clients, and generally the fastest to get you your first inbound call requests once approved. Good default starting point. AlphaSights — heaviest concentration of PE and hedge fund clients specifically doing diligence on crypto, stablecoins, and tokenization deals right now. This is probably where your CBDC dissertation gets you the most attention and the highest rates. Tegus — more self-serve and transparent than GLG/AlphaSights; experts often get matched directly to requests without as much manual vetting friction, so it's a good complement rather than competing for the same calls. Business Talent Group — the odd one out on ...

...installable APK or similar package that I can sideload Acceptance criteria 1. Voice/text command executed within two seconds on a mid-range Android phone, offline. 2. At least 10 demo commands covering app launch, navigation, typing, and a simple code snippet insertion. 3. Source code, build instructions, and a brief video showing the assistant in action. If you have experience with on-device NLP (e.g., TensorFlow Lite, , Rasa, or similar) and Android automation APIs like Accessibility Service, I’d love to see your approach and previous work....

...five moving parts together: • EDC Configuration (top priority) – fine-tune the Electronic Data Capture environment so every transaction is reliably captured, logged, and ready for downstream processing. • Swift integration – wire it specifically for processing transactions only; sending or passive reception isn’t required right now, but the codebase should remain extensible. • Stablecoin tokenization – create the logic and smart-contract flow that converts incoming fiat-denominated values into stablecoins, then routes them to the next stage on Cryptohost. • Master wallet management – set up a single master wallet architecture with the right key-management strategy so funds can be swept, audited, and reconciled with minimal ...

I want to build an AI-driven system whose sole focus is content creation. I am still flexible on the exact architecture—whether the core ends up being an NLP model that writes long-form text, a generative image engine, or a multimodal blend, the end goal is the same: reliable, original content produced on demand with minimal human intervention. Here is what I need from you: • A clear proposal outlining the model stack you would use (e.g. GPT-4, Llama 2, Stable Diffusion, or your own fine-tuned variant). • A small proof-of-concept that ingests a prompt and returns publish-ready output. • Documentation describing setup, retraining, and how I can scale the system once the POC is approved. Acceptance criteria: the demo must run locally or on a standard cloud n...

...execution, and dynamic decision-making • Develop agent architectures leveraging planning, tool usage, memory management, and orchestration frameworks • Build systems that enable agents to autonomously resolve customer intents end-to-end Voice & Chat Experience Engineering • Engineer AI-driven voice and chat interaction layers that replace or enhance traditional IVR and scripted bots • Implement NLU/NLP capabilities using LLMs, embeddings, and prompt orchestration • Design flexible, context-aware interactions that dynamically adapt to user input Backend Integration & Action Execution • Build and maintain integrations with enterprise systems through REST/GraphQL APIs, event-driven architectures, and microservices • Enable agents t...

I’m putting together an NLP-driven product and need a hands-on developer who works comfortably in Python and prefers PyTorch as the framework of choice. The immediate goal is to design, train, and fine-tune language models that will power features such as text classification, entity extraction, and semantic search. You should be able to: • architect and code end-to-end pipelines—data ingestion, preprocessing, model training, evaluation, and deployment; • experiment with state-of-the-art transformer architectures, optimise hyperparameters, and benchmark performance on agreed metrics; • containerise and push models to a cloud endpoint (AWS, GCP, or Azure—choose what you know best); • document the approach clearly so the team can reproduce...

I want to build an AI-driven platform that automatically draf...simple interface: the user enters location and concept, presses “Generate”, and receives a ready-to-submit application plus an explanatory report. Python, machine-learning libraries (TensorFlow, PyTorch), NLP techniques for grant language, and a lightweight GIS component will likely be needed, but I am open to your preferred stack as long as accuracy and speed remain high. Payment will follow a subscription model of 300 RON per month for five years, aligning our interests over the long term while keeping the service affordable for small businesses. If you have experience blending data science, NLP, grant writing and web development, let’s talk about an MVP timeline, data sourcing strategy and ...

Claude will be the backbone of a new natural-language-processing system that I’m putting in place for my product. The initial scope centres on three capabilities: reliable text classification, accurate sentiment analysis, and a conversational chatbot that can surface answers from our own content. My training corpus is ready: a large stream of social-media posts plus SEO-focused text collected from our marketing team. I can supply it in JSON or CSV along with basic labels where they already exist. You’ll need to clean, augment, and align this data so it fits neatly into Claude’s fine-tuning workflow (or an equivalent retrieval-augmented approach if that proves more efficient). Here’s what I expect as concrete deliverables: • An end-to-end Claude-compatib...

I need an AI-driven application that automatically searches Google and key government websites for relevant textual information, extracts the material, and turns it into a polished, brand-specific PDF report. The workflow I have in mind is ...sites are Google search results and publicly available government portals, but the architecture should make it simple to add other sources later. • Final output is always a PDF, generated automatically and ready to share. • Code should be clean, well-commented and delivered with a short setup guide so my team can deploy it in our own environment. If you have experience combining web scraping, NLP, and PDF generation—ideally in Python with libraries such as BeautifulSoup, Selenium, spaCy or similar—let’s talk abo...

...and cabs are sourced, priced, quoted, and finally paid for. Here’s the path I need implemented end-to-end: • Meta WhatsApp Cloud API: configure webhooks, templates, and session messaging so automated responses drive the chat. • n8n: build the workflow that catches each message, calls the AI service, branches the logic, and hits the relevant supplier or internal microservice. • AI layer: use NLP to understand intent, gather missing trip details, and hold a natural dialogue until the request is complete. • Travel orchestrator: connect to flight GDS/aggregator, hotel and activity suppliers, plus a cab partner; assemble results, feed them to the pricing engine, and return a clear quotation. • Booking & payment: on customer approval, push t...

We are looking for a legal professional to support the structuring and setup of a real-estate equity tokenization framework. Scope includes: * Advising on the most suitable jurisdiction and legal structure * Formation and registration of the required company/SPV or investment vehicle * Structuring the legal rights represented by the tokenized equity * Preparing the required corporate and issuance documentation We are looking for someone who can provide both legal advice and hands-on implementation of the structure.

...workflow that automatically reviews incoming resumes for my entry-level and mid-level openings, highlights the most relevant candidates, and flags any obvious mismatches. The model should rank applicants primarily on their education background and work experience; other factors can remain optional for now. Here’s what I expect: • A lightweight, reproducible pipeline (Python or similar, leveraging NLP libraries such as spaCy, Hugging Face, or OpenAI embeddings) that ingests PDFs, DOCXs, or text and converts them into structured data. • Scoring logic that weights degree relevance, graduation date, institution, total years in role, and direct title/industry alignment, then returns an ordered shortlist with confidence scores. • A simple dashboard or JSON/C...

...need a solid data-cleaning and preprocessing pipeline: removing noise, normalising case, handling missing or corrupt rows, tokenising, and producing features that make sense for downstream modelling. Once the data quality is reliable, I want a working machine-learning model built on top of it—preferably in Python using well-established libraries such as pandas, scikit-learn, spaCy or a comparable NLP stack. Here is what will let me sign off on the job: • A reproducible script or notebook that takes the original CSV files, cleans them, and outputs a tidy, feature-ready dataset. • A trained text-based model (classification or clustering—I'll decide with you after an initial review of the data) with clear performance metrics and a brief explanation o...

...Hugging Face, and containerisation (Docker/Kubernetes) should feel second nature; if you prefer equivalent tools, I’m open, provided maintainability stays high. Because the insights will feed directly into our live support dashboard, accuracy and low latency are critical. A well-structured test suite, thorough documentation, and CI/CD hooks will be part of the hand-off. Deliverables • End-to-end NLP pipeline (code + Dockerfile) • Trained text-analysis model tuned on my dataset • REST or gRPC service for real-time calls • Documentation covering setup, retraining, and API usage • Unit/integration tests and CI configuration Acceptance criteria • Model must reach agreed precision/recall on a held-out validation set • Average...

...into our ledgers or spreadsheets with zero transcription errors. • Scheduling appointments: sync with Google Workspace and Outlook calendars, recognise time-zone clashes, and send confirmations or reminders automatically. • Monitoring and reporting: watch live account balances, flag anomalies, and produce concise daily summaries in a dashboard or by Slack/Teams message. The build can draw on NLP, RPA, or a conversational AI layer—whichever stack you prefer—provided the final agent plugs smoothly into our finance tools (Excel, QuickBooks, banking APIs, Sage, etc.) and follows industry-standard security practices. Acceptance criteria will be a working demo inside our sandbox environment, full documentation of APIs and prompts, and a short hand-over c...

...Smart escalation rules – if the conversation goes beyond its scope, it must capture the user’s context (browser, device, error codes, recent actions) and hand everything off to our support inbox. • Analytics dashboard so I can track resolution rates, common issues, and gaps in content. Technical freedom is fine—I’m comfortable with solutions built on Dialogflow, Rasa, GPT-based APIs, or a custom NLP stack, provided the end result is reliable, GDPR-compliant, and simple for my team to maintain. Acceptance criteria: 1. Widget embedded on a staging page with my branding. 2. Successful handling of at least 15 predefined technical scenarios in user testing without human intervention. 3. Escalation flow delivers complete transcripts and metadata to our ...

...or configuration with inline comments and rollback instructions • Before-and-after metrics demonstrating accuracy regained and measurable response-time gains Acceptance criteria: zero incorrect replies in a 200-turn regression test and an average response time no slower than 800 ms under the current traffic profile. Tools and languages are flexible as long as you work comfortably with modern NLP/LLM frameworks, Python or Node back-ends, and cloud deployment pipelines (e.g., Docker, AWS/GCP, Git). Push changes through a feature branch so I can review via pull request before merging to production....

...on PrestaShop 9.0.2 and need Google Pay added to the existing checkout flow on the web storefront. The job includes installing or developing a compatible payment module, configuring it with my Google Pay merchant profile, and verifying that everything works smoothly in both test and live environments. Key deliverables: • Google Pay button visible at checkout beside existing methods. • Proper tokenization and secure transaction handling that passes PCI compliance for Web payments. • Successful end-to-end test transactions in Google’s sandbox, then in production. • Clear deployment notes so I can reproduce the setup on a staging site or after future upgrades. Acceptance criteria: 1. A customer can complete a purchase with Google Pay on desktop and mobile...

I need an AI-powered web application that focuses exclusively on corporate law. The system must be able to: • Offer conversational, context-aware legal advice on corporate matters. • Draft standard corporate documents (NDAs, shareholder agreements, board resolutions, etc.) from user-supplied ...and a short video walkthrough. Acceptance criteria • Advice responses cite at least three authoritative sources. • Generated documents are ready to download as Word or PDF. • Research mode returns links to statutes and cases, organised by jurisdiction. • System deployed to my cloud account and passes a brief user test covering the three core functions. Please include examples of previous NLP or legal-tech work and indicate which stack you would choose ...

Role AI / Machine Learning Engineer – Large Language Models & Clinical NLP We are looking for an experienced AI/ML researcher or engineer to support a research project focused on automated clinical data abstraction from pediatric congenital heart surgery records using locally deployed open-weight large language models. Project Automated Clinical Abstraction in Pediatric Congenital Heart Surgery Using Open-Weight Large Language Models: Extraction of Diagnoses, Procedures, and Surgical Risk Categories The project aims to evaluate whether open-weight LLMs running locally can accurately extract structured clinical information from unstructured medical documents, including: * Operative notes * Discharge summaries * Echocardiography reports * Cardiac catheterisation report...

...introductory theory. You should be comfortable switching between conceptual explanations and hands-on coding demonstrations (Python, Jupyter, TensorFlow/PyTorch, scikit-learn). Clear, native-quality Japanese communication is essential; all slides, code comments, and Q&A will be in Japanese. To keep the engagement high I expect: • A concise syllabus that shows how you will sequence ML, DL, and NLP topics over the proposed calendar • Total duration of the course will be 40 hours • Practical assignments after each session and prompt feedback on submissions • Session recordings made available to participants for later review Success is defined by participants working experience with the given tools for min 6 years and have fluency in japanese speak...

1.) Developed an advanced AI-powered personal assistant designed to understand and respond to natural-language commands. 2.) Integrates AI/NLP capabilities for intelligent conversation, reasoning, and task assistance. 3.) Supports voice-based interaction, enabling hands-free communication with the assistant. 4.) Provides context-aware conversations instead of treating every query as an isolated request. 5.) Designed with a modular architecture, allowing new AI capabilities and tools to be added easily. 6.) Capable of assisting with information retrieval, problem solving, coding, and everyday tasks. 7.) Designed for a user-friendly interface with a focus on speed, reliability, and easy interaction. 8.) Includes a focus on privacy, controlled access, and responsible handling of user i...

...high-level architecture blueprint showing how each component fits together (APIs, data pipelines, orchestration, security, monitoring). • Clear technology stack recommendations with reasoning—think language choices, cloud services, AI frameworks (e.g., Python, Node.js, TensorFlow, AWS, GCP, Docker, Kubernetes). • Data-flow and integration diagrams capturing how customer queries travel through NLP models, knowledge bases, and analytics layers. • A phased implementation roadmap, broken into practical milestones, so engineering teams can pick it up and start building. • Guidelines for horizontal scalability, fail-over, and performance monitoring from day one. Acceptance criteria – Blueprint addresses automated customer support end-to-end. ...

...PrestaShop 1.6.1 and need Google Pay added to the existing checkout flow on the web storefront. The job includes installing or developing a compatible payment module, configuring it with my Google Pay merchant profile, and verifying that everything works smoothly in both test and live environments. Key deliverables • Google Pay button visible at checkout beside existing methods • Proper tokenization and secure transaction handling that passes PCI compliance for Web payments • Successful end-to-end test transactions in Google’s sandbox, then in production • Clear deployment notes so I can reproduce the setup on a staging site or after future upgrades Acceptance criteria 1. A customer can complete a purchase with Google Pay on desktop and mobil...

I’m building a web application whose core purpose is to automate contract drafting and review through AI. The platform should let a user log in, feed key deal parameters or upload an existing agreement, and then watch the system generate, red-line, or summarise the contract in real time. ...language-model API and any needed prompt-engineering logic 3. Basic admin dashboard to manage templates, clause libraries, and user activity logs 4. Documentation: set-up guide, API keys/config steps, and a short user manual 5. Short acceptance test plan proving the AI can generate and review NDAs, MSAs, and service agreements accurately If you’ve previously integrated OpenAI, Anthropic, or similar NLP tools into SaaS products—and you understand the nuances of legal ...

...language. I’m particularly interested in: • Practical evaluations of new ML frameworks, libraries, and tools • Performance comparisons against earlier versions or competing solutions • Real-world use-case highlights and potential business impact • Concise “pros, cons, and verdict” summaries that busy readers can scan quickly If you’re comfortable branching into adjacent AI areas such as NLP or Computer Vision—or even wider tech fields like Blockchain or IoT—that flexibility is a plus, though not essential for this assignment. Deliverables 1. One polished review article (1,000–1,500 words) each week, delivered in Google Docs. 2. A short executive summary (150–200 words) for social media posts. ...

I need a reliable contributor who can gather English-language text from Facebook and package it into a clean, well-structured dataset that can be used for downstream AI/NLP experimentation. The assignment is exclusively text-based; no images, audio, or mixed-media assets are required. Scope of work You will capture publicly available posts and their associated comments coming from Facebook pages or groups that allow legal, compliant scraping. Content must be written in English and sourced directly from the platform—no third-party aggregators. I am interested in a broad topical spread rather than a single niche so the final corpus reflects natural, everyday language as it appears in social media. Compliance & privacy All data has to be collected in accordance with Fac...

...conversations are routed and stored, everything must be tweakable so the bot feels native to my business. Core requirement • The bot must let me compose and schedule broadcast messages inside Telegram and push them to selected user segments. Those broadcasts will include plain text and attached files or documents. Nice-to-have (open to your suggestions) • Smart auto-replies to common questions, deeper NLP hand-offs, or CRM integrations—if they can be added cleanly without bloating the system, I’m interested. Please outline your approach to: – set-up (hosting, webhooks, BotFather configuration) – admin interface for managing broadcasts and viewing stats – keeping the solution compliant with Telegram’s ToS and rate limits ...

...custom-built models. The high-level goal is to ingest varied data sources, understand text at scale, uncover actionable patterns and expose the results through clean, well-documented APIs that my in-house developers can extend. Here’s what I need from you: • Model design and training – choose the right architecture (transformer, LSTM, hybrid, etc.) and justify it in a brief technical note. • End-to-end NLP pipeline – data cleaning, tokenisation, entity extraction and sentiment or intent classification. • Predictive layer – supervised or unsupervised techniques that surface trends and generate forward-looking metrics we can plug into dashboards. • Deployment – containerised solution (Docker/Kubernetes preferred) that runs r...