Nlp tokenization jobs

Tokenization - we are looking for a developer who is intimately familiar with the token mechanics of minting, supply, partial-failure recovery and settlement state machine, compensating transactions, financial state machines, idempotent settlement, payment reconciliation, saga-style workflows, exactly-once economic effects, or recoverable partial commits, Financial Limit Enforcement Under Concurrency, Failure Injection and Adversarial Testing etc. You get the idea... Please no fakeus or pretenders ... This is a significant project and we do not need additional complexity of unstable or dishonest people .... if you understand what we need and can demonstrate what you have done... we are all ears and happy to be accommodative.... No generic proposals will be considered. We are n...

...experience with tools such as Dialogflow, Rasa, Microsoft Bot Framework, LangChain, or similar NLP stacks is a plus. For the CRM portion, lightweight frameworks like Node, Django, or Laravel with REST endpoints work fine as long as the contact database stays fast and searchable. Success criteria • Chatbot responds accurately in at least three languages I will specify during kickoff. • New conversations are attached to the correct contact record, visible through a simple dashboard or API. • Code is modular, well-documented, and deploys cleanly to a common cloud host (AWS, Azure, or GCP). When you apply Please highlight relevant experience building multilingual chatbots, integrating CRMs, and working with NLP libraries or LLM APIs. A concise portfolio li...

Spam Message Detection Using NLP & Machine Learning I built a machine learning tool that uses NLP to label text messages as Spam or Not Spam. The tool works with the SMS Spam Collection Dataset from the UCI Machine Learning Repository. Key Features Used a labelled set of spam and normal SMS messages. Did text cleaning and TF‑IDF Vectorization to turn words into numbers. Ran the Multinomial Naive Bayes model to predict labels. Separated the data into training and test parts to check performance. Checked outcomes with accuracy, precision, recall and F1‑score. Made a Streamlit app so you can try your own messages. Loaded the model and TF‑IDF tool with Joblib. Technologies Used Python | NLP | Pandas | Scikit‑learn TF‑IDF | Multinomial Naive Bayes | Streamlit Jo...

...and artificial intelligence. Required Tech Stack * Frontend: 14+, TypeScript, Tailwind CSS, RTL Support (Arabic/English) * Backend & Database: Supabase, Webhooks, Row Level Security (RLS) * Payment Integration: Stripe & PayPal (Tokenization, One-Click Upsells, Order Bumps, Dynamic Funnels) * Deployment: Vercel, GitHub, Supabase (Direct deployment to the owner's accounts) Key Project Elements: * Building Smart Sales Funnels that support Order Bumps + Upsell/Downsell flows up to 15 offers. * Secure payment gateway integration with Tokenization for one-click purchasing without re-entering card details. * Creating responsive, reusable page components and templates. * Submitting 3 weekly recorded video reports (Loom Videos) demonstrating progress and funct...

...Primary goal: a robust artificial-intelligence-driven product capable of data analysis, task automation, and predictive insight generation. • Area of focus: designing every layer of the solution, whether that means a classic machine-learning model, a natural-language component, computer-vision capabilities, or a thoughtful blend of all three. Python, TensorFlow/PyTorch, scikit-learn, and popular NLP or CV libraries should feel second nature to you. Design scope • I want “everything” here too—clean UI mock-ups, on-brand graphics, and any supporting print assets we might need for demos or investor decks. Tools such as Figma, Adobe XD/Illustrator, or Sketch are ideal; feel free to suggest alternatives you prefer. Deliverables 1. Technical blueprin...

...upsell engine. * Required Tech Stack We maintain strict engineering standards. You will develop directly on our infrastructure using: Framework: 14 (App Router) + TypeScript Styling & UI: Tailwind CSS (Unified, high-converting interfaces with full RTL/English support via next-intl) Database & Backend: Supabase (PostgreSQL, Auth, RLS, Webhooks) Payments & Billing: Stripe (Checkout, Tokenization/Setup Intents, Webhooks) + PayPal Vault Hosting & Version Control: Vercel + GitHub (Direct execution on the owner's accounts) Note: WordPress, Elementor, Bootstrap, or pre-built legacy templates are strictly prohibited. We build modern, serverless web applications. * MVP Scope of Work 1. High-Converting Page Architecture (3 Core Layouts) Landing & Soluti...

...upsell engine. * Required Tech Stack We maintain strict engineering standards. You will develop directly on our infrastructure using: Framework: 14 (App Router) + TypeScript Styling & UI: Tailwind CSS (Unified, high-converting interfaces with full RTL/English support via next-intl) Database & Backend: Supabase (PostgreSQL, Auth, RLS, Webhooks) Payments & Billing: Stripe (Checkout, Tokenization/Setup Intents, Webhooks) + PayPal Vault Hosting & Version Control: Vercel + GitHub (Direct execution on the owner's accounts) Note: WordPress, Elementor, Bootstrap, or pre-built legacy templates are strictly prohibited. We build modern, serverless web applications. * MVP Scope of Work 1. High-Converting Page Architecture (3 Core Layouts) Landing & Soluti...

...biodiversity counts and social indicators into one stream, analyse them with machine-learning tools such as TensorFlow, PyTorch and GeoPandas, then translate the results into an easy-to-grasp planetary wellness score. From one major branch, the system must open Akashic records only far enough to deliver clear life-purpose insights for any individual who requests them. I picture a knowledge-graph/NLP layer that takes a user’s query, maps it against archetypal patterns, and returns guidance in plain language without exposing private or unnecessary details. When the monitor flags regions or behaviours that place the planet under stress, a smaller branch should issue gentle “energy stabilisation” prompts—practical, positive steps that invite users to heal th...

We are looking for a Python developer for...* Apply basic Natural Language Processing techniques where needed. * Create a reusable Python script for the data cleaning process. * Integrate the processing logic with a basic Django backend/API. * Provide the cleaned dataset along with the source code. Requirements:- * Strong experience with Python. * Good understanding of Django and REST APIs. * Experience with Natural Language Processing (NLP) and text cleaning. * Ability to work with CSV/Excel/JSON datasets. * Good understanding of data validation and transformation. * Clean, readable, and well-structured code. Deliverables:- 1. Cleaned and processed dataset. 2. Python data-cleaning script. 3. Basic Django API/backend integration. 4. Short documentation explaining how to run the s...

...Acceptance criteria 1. A working API endpoint for WhatsApp and one for Facebook Messenger, both passing Meta’s compliance checks. 2. Dashboard or config file where I can edit templates and toggle AI or FAQ modes. 3. Clear setup guide plus Postman collection so my developer can test calls in minutes. If you already have experience with WhatsApp Business Cloud API, Facebook Graph, webhooks, NLP or OpenAI, that will help you hit the ground running....

I’m building an AI-driven application whose core is a natural-language chatbot available both in the browser and as an Android app. I already have the...Kotlin or a robust cross-platform stack such as Flutter or React Native), and wire both to the same backend and database. Key deliverables • Deployed backend with secure authentication, chat history storage, and an NLP service powering the chatbot • Responsive web interface and matching Android build published to an internal track for testing • Brief technical documentation and a hand-off session so I can maintain and scale the codebase I value clean, well-commented code, straightforward communication, and proactive problem-solving. If you have recent experience shipping NLP chat products on web a...

I need an NLP workflow that ingests social media posts, customer reviews, and email messages, then detects the dominant emotion—Happy, Sad, or Angry—in each piece of text. The solution should be reliable enough for daily, automated processing and simple to retrain as my data grows. I already have raw text stored in CSV files; you can assume each record contains a unique ID and a text field. Your job is to: • Clean and normalise the text (language is English only). • Build or fine-tune a model that classifies the emotion with high accuracy. • Expose the results through a concise report (precision, recall, F1) and a small demo script or notebook that shows end-to-end usage. Python, spaCy, Hugging Face, or similar libraries are welcome—as long as...

I am looking for a skilled AI/ML and Data Science developer to help build or improve intelligent, data-driven applications and Python-based solutions. The project may involve: * Machine Learning and Deep Learning model development * Data Science, data cleaning, exploratory data analysis (EDA), and visualization * Predictive analytics, classification, and recommendation systems * NLP, chatbot development, and AI-powered customer support solutions * Generative AI application development and LLM-based solutions * Python development using FastAPI, Streamlit, and Gradio * Interactive dashboards, Plotly visualizations, and model performance evaluation * AI model integration, API development, and web application deployment I am particularly interested in practical projects with clear re...

I’m building an intelligent product whose sole purpose is to tutor adult learners in Science. The vision is a conversational, AI-driven experience that diagnoses gaps, adapts in real time, and keeps motivation high through engaging explanations and practice. Here’s how I picture the workflow: a...adult user can complete a five-minute diagnostic and receive a bespoke tutoring path. 2. Real-time chat capable of answering at least 100 common Science questions with citations. 3. Progress data stored securely; basic analytics visible on the dashboard. 4. Source code, setup instructions, and a short Loom walkthrough at hand-off. If you’ve shipped AI tutoring tools before or have strong NLP plus front-end skills, let’s talk—I’m ready to move quic...

...designing ingestion pipelines, structuring secure databases, crafting and training the models, and exposing everything through clean REST/GraphQL APIs and a lightweight web dashboard. Experience weaving together healthcare and fintech data in a HIPAA- and PCI-aware manner is essential. Deliverables I have in mind: • Data pipeline that reliably cleans and unifies EMR and transaction data • Deployed NLP, CV, and predictive models with reproducible training scripts • API layer plus a minimal front-end that visualises key metrics and prediction outputs • Deployment scripts (Docker/Kubernetes or similar) so the stack can be spun up in any major cloud All code should be version-controlled and documented well enough for continued internal development. If th...

...short-sentence replies (it needn’t cope with one-word grunts or long story-telling yet), pull out the key data, and write the result into my Bitrix24 via its REST API. Here’s the journey I need running end-to-end: 1. Public phone number receives the call and hands it to the bot. 2. Bot plays a text-to-speech greeting and questions. 3. Caller responds; speech-to-text converts the audio. 4. An NLP layer extracts structured fields such as “desired service”, “company name”, and “contact channel”. 5. The JSON payload is pushed into Bitrix24 as a new lead (or whichever entity you feel is quickest to wire up for the demo). Stack is your choice—Twilio Voice, Asterisk, Dialogflow, Azure Speech, Whisper, or similar—as ...

...repetitive admin work - lead follow-ups → Potential automation/AI opportunity. Example 5 — AI Opportunity A business could benefit from: - AI chatbot - customer-support automation - AI lead qualification - document processing - internal AI tools - workflow automation → Potential AI client. Example 6 — Blockchain / Web3 A legitimate company/project is actively working with: - Web3 - blockchain - tokenization - wallets - NFT infrastructure - crypto products → Potential blockchain/Web3 development client. The opportunity must be explained, not simply listed. RESEARCH REQUIREMENT For every lead, I expect actual research. You may use: - Google - Google Maps - LinkedIn - LinkedIn Sales Navigator - Instagram - Facebook - Business directories - Company websites...

I’m looking for a writer who can take cutting-edge research and developments in Natural Language Processing and turn them into clear, SEO-friendly articles that still satisfy an audience of advanced experts. What I need • Topic focus: Natural Language Processing within the broader AI/LLM landscape—think model archi...each article. 2. Draft article (1,500–2,000 words unless otherwise specified). 3. One revision round after my feedback. 4. Final, publication-ready copy in Google Docs or Markdown. Timeline I expect each piece within the deadline we agree on—punctuality is essential. Next steps Share two links to relevant writing samples or send me a short trial paragraph explaining a recent breakthrough in NLP. Let’s discuss the first set of...

...public records, then consolidate everything into a readable profile that highlights connections, red-flags and key facts. A lightweight web dashboard or a simple command-line interface is fine, provided the workflow is fast: enter the data → trigger live searches → receive an organised, timestamped PDF/HTML summary. I’d like the codebase (Python is preferred only because of its rich scraping and NLP libraries, but I’m flexible) to be clean, well-commented and modular so new data sources can be plugged in later. Deliverables: • Working application or script with input fields for Names of individuals, Company names, PAN, GST and mobile numbers • Automated gathering, parsing and de-duplication of results from at least the most common open-sour...

...report contains: > Natural Bulk Density: 2.01 g/cc the system should understand that both refer to **Bulk Density** and place the corresponding value in the correct Excel field. Similarly, the location/order of **SPT N-value, soil classification, density, fines percentage, depth, test results, etc.** may vary between documents. The system should be capable of handling these variations using **AI/NLP/LLM-based document understanding, OCR, table extraction, or a suitable combination of technologies**. ### Excel Requirements The tool should be able to: - Work with existing Excel templates. - Identify the correct worksheet. - Populate specific fields/columns. - Preserve existing formatting. - Preserve formulas and merged cells. - Avoid changing logos, borders, colours, and ...

...polished desktop application" — professional visual quality, smooth interactions, and complete UX throughout. EXISTING CODEBASE (10 files, ~12,150 lines) ─────────────────────────────────────────── 1,243 lines — Desktop GUI (THIS IS THE FOCUS) 2,386 lines — Core swarm engine (DO NOT MODIFY) 1,901 lines — NLP engine (DO NOT MODIFY) 1,913 lines — Compression engine (DO NOT MODIFY) 1,882 lines — Hardware engine (DO NOT MODIFY) 1,905 lines — Benchmark suite (DO NOT MODIFY) 224 lines — Guardrail bridge (DO NOT MODIFY) 68 lines — Vault encryption (DO

I want to turn Zoho Creator into an AI-powered assistant that shortens the gap between incoming enquiries and a confirmed purchase order. On receipt of a sales request coming in by either Email or WhatsApp, the app must automatically: • pull the full thread, • parse it with NLP to extract the product name, quantity, price and any free-form description, • look up Zoho Inventory in real time and flag exact matches or, when stock is low, surface the closest in-brand or cross-brand alternatives with clear evidence of why each item qualifies. The agent then sends an internal notification to both Sales and Purchase, pre-fills a draft containing customer-facing benefits for every suggested item, and routes it through an approval workflow. Once a configuration is approv...

...AI-optimised ATS. (A résumé builder is something I may add later, so please keep the architecture flexible.) • Recruiter dashboard – needs powerful candidate search & filter tools, calendar-integrated interview scheduling, and clear analytics / reporting on pipeline health, sourcing channels, time-to-hire and similar KPIs. Core features I already have in mind include an applicant-tracking system, an NLP chatbot for first-round screening and FAQs, a browsable job board, and an interview module (video or in-person scheduling). Everything should follow a clean, professional “Corporate” UI, be mobile-responsive, and support role-based access so recruiters, hiring managers and admins see only what they need. I’m happy to discuss tech s...

...(Docker + ), and environment management. Deliverables will be: 1. Source code repository with clean commits and README. 2. Deployed staging site and production build. 3. API documentation (OpenAPI/Swagger) and brief user guide. 4. Test suite covering major user flows and AI endpoints. Acceptance criteria: the app must process text, images, and data to return relevant NLP summaries, classification results, and predictive metrics inside the React dashboard at <300 ms average latency on cached queries, pass all tests, and deploy without manual intervention....

I’m building the first-round MVP of an Australian telephone polling platform and need a developer who can take it from concept to a working cloud-hosted product. The core workflow is straightforward: the system automatically dials a list of phone numbers, asks scripted questions, recognises spoken answers with NLP-based voice recognition, and stores each response for later analysis. It must comfortably interpret multiple-choice replies (e.g. “Press or say one for…”), open-ended comments, and numeric inputs such as postcode or age. Key capabilities I need implemented: • Automated outbound call scheduling with retry logic and time-zone awareness. • Real-time voice recognition powered by Natural Language Processing so the caller can respond natural...

...ready for TikTok, Instagram Reels, and YouTube Shorts. The core requirement is automated video generation; no manual timeline editing should be necessary. The AI should pull together text, images, stock clips, transitions, captions, and royalty-free music to produce engaging social media content that looks human-edited. Scope of work • Build or fine-tune the underlying AI models (computer vision, NLP, text-to-speech where helpful) in Python or Node, leveraging libraries such as PyTorch / TensorFlow, OpenAI, ffmpeg, MoviePy, or similar. • Design a lightweight web interface (React, Vue, or plain HTML/JS is fine) where I can paste a script or upload assets and immediately preview the generated video. • Implement aspect-ratio presets (9:16, 1:1, 16:9) and automati...

This project must work and interact with www.readquranforpeace.net. it is not an independent showcase, it ... • Textual predictions that later proved accurate Deliverables must be self-contained: code, datasets, design assets and concise documentation showing how to update or extend the work for future themes. Your approach should respect the sacred nature of the material while remaining accessible to readers unfamiliar with Qur’anic studies. If you have experience with data analysis, Arabic NLP, interactive web libraries (D3.js, Plotly, ), or similar tools, please highlight it—these skills will accelerate the project. I look forward to seeing how you bring the numerical wonders of the Qur’an to life and set the stage for the broader miracle showc...

...PHP (Laravel or similar) API, design the database schema, and keep the codebase modular for future scaling. • AI layer: connect to LLM or other AI services to deliver NLP functions and deploy/consume machine-learning endpoints where needed. • Integrations: hook in external APIs for payments, authentication, or data feeds, while observing best security practices. • Quality: write clear documentation, include automated tests, and optimise performance; I want code that another team can pick up without guesswork. Acceptance criteria: Angular components load without console errors, API routes pass automated test suites, NLP endpoints respond within agreed latency, and a concise README explains setup, environment variables, and deployment steps. If this ma...

This project centres on building an end-to-end Natural Language Processing system that handles three distinct tasks: text generation, sentiment analysis, and named entity recogni...code organised by task with concise README files • Pre-trained model weights and scripts for inference and retraining • Sample data pipeline scripts (tokenisation, augmentation, evaluation) • A short report summarising model choices, hyper-parameters, and benchmark results on public or synthetic datasets When you respond, focus on relevant experience—particularly projects where multiple NLP tasks were combined or where state-of-the-art language models were deployed in real applications. Links to repositories, live demos, or published papers that showcase similar work will hel...

I'm looking for an AI engineer to develop an agentic system focused on task automation, specifically through a voice agent. Key Requirements: - Design and implement a natural...agentic system focused on task automation, specifically through a voice agent. Key Requirements: - Design and implement a natural language processing model for voice interaction. - Develop an automation backend to handle various tasks. - Ensure seamless integration with existing tools and platforms. - Create a user-friendly interface for monitoring and control. Ideal Skills: - Strong expertise in NLP and voice technology - Experience in system integration and automation - Proficient in Python and relevant AI frameworks - Background in developing user interaction systems Please include examples of sim...

I’m assembling a small, dependable pool of freelancers to help me tackle a variety of online projects, with an immediate emphasis on building AI-driven chatbots for customer service. If you have hands-on experience creating conversational agents—from dialogue design and NLP setup to API integration and deployment—let’s talk. The goal is a production-ready bot that answers customer queries accurately, logs interactions, and hands off seamlessly to live agents when needed. Alongside the chatbot work, I routinely need support across web design, social media management, video editing, graphic branding, research, and other technical challenges. Your ability to move between these areas, suggest smarter workflows, and automate repetitive tasks will be highly valued...

... • Brief hand-off guide covering model updates and monitoring Acceptance criteria 1. Prompts under 500 tokens return coherent answers < 3 s 90 % of the time. 2. Output must respect the temperature, max-tokens, and stop-sequence settings exposed in the API. 3. Codebase is clear, commented, and runs via a single command after installing dependencies. If this aligns with your expertise in NLP, transformers, and cloud deployment, I’m ready to kick off as soon as you share a concise plan and timeline....

...should stay active in the cloud so the user can keep sending and receiving without keeping a browser open locally. Inside the app, two core modules are required: 1. Chatbot The built-in bot must be able to respond to common questions, automate day-to-day customer support, and guide users through multi-step processes. I should be able to create rule-based flows now and, if I decide later, swap in an NLP engine without major refactoring. Messages handled by the bot need to be logged and clearly tagged so the user can jump into any conversation when human intervention is needed. 2. Bulk Messaging Users will upload or paste contact lists, choose from reusable message templates, personalise each send with merge fields (name, order number, etc.), and set a schedule—down to min...

...Skipped with reason File Types Minimum support: - PDF - DOC/DOCX - XLS/XLSX - TXT - CSV - RTF - PPT/PPTX - JPG/JPEG - PNG - TIFF - BMP - ZIP Preferred additional support: - EML - MSG - PST - 7Z/RAR Images/scanned documents should use OCR when required. Sensitive-Data Detection Use appropriate combinations of: - Regular expressions - Checksum validation - Named Entity Recognition - Local AI/NLP if useful Custom detection rules must be supported. Example: "CLIENT-12345678" or “CONFIDENTIAL ACQUISITION” False positives should be minimized. Exact File Location When sensitive information is detected, the app should show: - File name - Full path - File type - Created/modified date - Sensitive-data category - Risk level - Exact PDF page where poss...

...Developer (end-to-end design & build) What it does: Donors describe a donation in plain language (e.g. "20 packets of fresh sandwiches, good for 3 hours"). The system extracts structured intent, filters out shelters that can't realistically accept it, then ranks the remaining candidates by real-world urgency and fit — not just distance. Architecture (3-stage pipeline): Extraction layer — LLM-based NLP parses free text into structured JSON (food type, quantity, unit, condition, time window). No decision-making here, purely language → structured data. Feasibility layer — Deterministic rule engine + PostgreSQL/PostGIS filters shelters by acceptance policy, capacity, geofenced distance, and operating hours. No ML used here by design — r...

...Business API so conversations initiated there follow the same logic and feed the same data store. • Provide a simple web dashboard (or native analytics in the bot platform) so recruiters can review leads, hand-off conversations when needed, and tweak FAQ content without code. Tech expectations NLP stack is flexible—if you have a proven approach with Dialogflow, Rasa, Microsoft Bot Framework, or a lightweight custom GPT wrapper, outline it. I am open to your recommendation on whether full NLP is necessary or a menu-driven hybrid will serve better. Deliverables & acceptance 1. Working chatbot live on and WhatsApp sandbox. 2. End-to-end CRM data flow verified (create/update candidate, tag source, log chat). 3. Admin documentation: setup steps, how ...

...looking for an experienced LLM/NLP Fine-Tuning Engineer to develop a specialized language model for MEGA Smart Home AI. The model should understand natural smart-home commands in: Egyptian Arabic Gulf Arabic English User sentences will be Arabic-only or English-only; Arabic-English code-switching is not required. The main goal is not general conversation, but Natural Language Understanding for smart-home control. The model must identify intent, device, location, action, and parameters, then generate a strict structured JSON output compatible with our MEGA OS. It must also handle ambiguous requests by asking for clarification instead of guessing, and recognize unknown/unsupported devices or commands. Required experience: SFT, LoRA/QLoRA, LLM fine-tuning, Arabic NLP...

...checks each finding against reference ranges, flags abnormalities, and explains the potential implications in plain language. Where results form recognisable patterns (for example, anaemia profiles or inflammatory markers) the model should surface likely differential diagnoses and recommended next-step investigations. To get there I will need robust OCR or direct-feed parsing, a well-trained ML/NLP pipeline (TensorFlow, PyTorch or similar), and a lightweight cross-platform front-end—web first, with mobile to follow. Clinical accuracy, privacy (HIPAA / GDPR), and clear audit trails for every prediction are non-negotiable. Please send me a detailed project proposal covering architecture, data-set strategy, validation metrics, regulatory safeguards, timeline, and your past e...

...stay active in the cloud so the user can keep sending and receiving without keeping a browser open locally. Inside the app, two core modules are required: 1. Chatbot The built-in bot must be able to respond to common questions, automate day-to-day customer support, and guide users through multi-step processes. I should be able to create rule-based flows now and, if I decide later, swap in an NLP engine without major refactoring. Messages handled by the bot need to be logged and clearly tagged so the user can jump into any conversation when human intervention is needed. 2. Bulk Messaging Users will upload or paste contact lists, choose from reusable message templates, personalise each send with merge fields (name, order number, etc.), and set a schedule—down to minute...

I need an AI-powered chatbot embedded directly on my website that can greet visitors and accurately answer our product-related FAQs 24/7. You’ll be responsible for the full setup—selecting an NLP engine, training it with the product information I’ll supply, and integrating the finished bot into our existing site so it looks and feels native to the brand. Key points • Primary function: respond to product information questions in a conversational, human-like manner. • Channel: website only (no mobile or social media hooks for now). • Data: I’ll provide a structured FAQ list, product specs, and any supporting documents you need for initial training. • Tone: friendly, concise, and always on-brand. If a query falls outside its knowledg...

...of an online service that delivers real-time, intelligent functionality to users, but I still need help refining the exact use case, selecting the most suitable AI model, and shaping the final product roadmap. Here is what I expect from you: • A short discovery phase where we clarify the problem the app will solve and the AI technique that best fits—whether that ends up being computer-vision, NLP, behavioral prediction, or another approach you recommend. • Guidance on dataset strategy. I do not currently have a prepared dataset, so I will rely on your advice for sourcing, cleaning, or augmenting data to train the model legally and ethically. • End-to-end development: model training or fine-tuning, integration with a modern back-end (Python/FastAPI, Node.j...

...step I need is someone to pull those logs, read the exact error codes, and trace them back to my current JavaScript / backend implementation. Once the root cause is clear, I want the code patched or clearly commented so a test-mode payment runs end-to-end without failure, followed by one live payment for final validation. Please be comfortable working directly with Stripe’s API, client-side tokenization, and the usual web-hook confirmations so this fix holds up in production. A concise changelog or pull request showing the adjustments and a quick walkthrough of what went wrong will complete the job....

I'm seeking an experienced mobile developer to create an AI-powered app for both iOS and Android platforms. The app will leverage natural language processing (NLP) to deliver advanced functionalities. Key Requirements: - Expertise in NLP and AI technologies - Proficiency in both iOS and Android development - Experience with data handling and processing for AI applications - Strong UI/UX design skills for intuitive user experience - Ability to integrate AI seamlessly into mobile platforms Ideal Skills and Experience: - Proven track record in developing AI-driven mobile applications - Strong knowledge of NLP frameworks and libraries - Familiarity with tools like TensorFlow, PyTorch, or similar - Excellent problem-solving skills and attention to detail - Good commu...

We are university researchers conducting a study on freelancers. We are looking for freelancers with data science / NLP experience to complete one online survey (about 10 minutes). There are no right or wrong answers and no work product is required. Payment: fixed €8. Please bid exactly €8 with 1 day delivery. A milestone is funded when we award, and released within 1 week of a valid completion. Places: 150 maximum; we select among bidders and cannot select everyone. One participation per person across all rounds. Process: (1) we award you and fund the milestone; (2) you accept; (3) we send the survey link in chat (hosted on Qualtrics); (4) you complete it within 24 hours and paste the completion code shown on the last page into the chat; (5) we release the payment. Va...

I publish in-depth research read by regulators, reporters, and institutional investors who demand real substance. Each commission is a research article that distils primary data, original studies, and practitioner insight into clear, rigorous prose on topics such as stablecoins, tokenization, and evolving market structure. You will be working long-term: expect a steady flow of 500–2,000-word pieces, with payment released from escrow at a rate of US $1–1.50 per 100 words. Deliverables • One fully sourced research article per brief, formatted for web and PDF • Citations to all data sets, charts, and interview material • A short author’s note explaining methodology Acceptance criteria • Arguments backed by verifiable data, not opin...

...behalf. Workflow I have in mind 1. User enters search terms and preferred filters. 2. The agent scans the three sites concurrently, parses new listings, and displays a shortlist. 3. For each job the user green-lights, the agent applies automatically. Before sending, the user can toggle a “customise resume” switch: • ON → the agent tailors the résumé/cover note to the description (simple NLP edits are enough at first). • OFF → it attaches the default résumé unchanged. A lightweight interface (web or desktop) is fine as long as it clearly shows matches, status of each submission, and any errors returned by the platforms. Code must be clean, well-commented, and ready to deploy on my own server. Delivera...

...business or project insights ### Required Skills * Python * Data Analysis * Data Science * Machine Learning (ML) * Deep Learning * Exploratory Data Analysis (EDA) * Data Cleaning * Data Preprocessing * Predictive Analytics * Data Visualization * Statistical Analysis * Pandas * NumPy * Scikit-learn * Matplotlib / Seaborn * TensorFlow or PyTorch ### Nice to Have * Natural Language Processing (NLP) * Computer Vision * Time Series Analysis * Feature Engineering * Model Optimization * AI Model Development * Experience with real-world datasets ### What I’m Looking For I’m looking for someone who can **think analytically, write clean Python code, explain their approach, and deliver reproducible results**. Please include: 1. A short introduction 2. Relevant AI / ML / ...

I am building an AI-powered interactive tutor that helps 13- to 15-year-olds strengthen their calculus problem-solving skills. The system should generate step-by-step ...At least 200 unique calculus practice items seeded in the database. • Accuracy of automated grading ≥ 95 % across a supplied test set. • Response time under 1 s for generating and grading a typical problem. • Deployed demo hosted on a free tier (Heroku, Vercel, or similar) for review, with source code pushed to a Git repository. If you have prior experience with adaptive learning engines, NLP-based feedback, or educational front-end design, that background will be invaluable. The final deliverable is the fully functional platform plus installation and usage documentation that a non-technical...

Hi, "Please note that proposals containing AI-written cover letters will not be considered. And the length of the proposal should be 75-100 words at least" We publish research that advances the conversation around stablecoins, market structure, tokenization, and the restructuring of crypto markets. We’re looking for a writer who can turn primary data, original research, and practitioner insight into sharp, substantive pieces that institutional readers actually finish. This isn’t content marketing. Our work is read and cited by reporters, regulators, investors, and market counterparties. That means accuracy, clarity, and intellectual rigor aren’t nice-to-haves—they’re the job. Payment via escrow. We are looking for writers for a long-term...

...breakdowns are outside the scope. Your task is to pull every English-language star rating and written review from that six-month window, distill the recurring suggestions customers offer for improving the product, and translate those findings into concrete, prioritized action items I can hand straight to my manufacturing and listing teams. Sentiment classification, keyword clustering, and any NLP techniques that surface hidden patterns are all welcome, provided the final insights are practical and easy to act on. Deliverables • A concise report (PDF or Google Doc) summarizing the most common improvement suggestions, each backed by representative review excerpts and frequency counts. • A spreadsheet of the raw review data you collected, tagged by theme and sentim...