Nlp jobs

...email, WhatsApp, or CRM, feel free to propose them. I need a developer who can not only write the code but also craft effective prompts, set up fine-tuning if it proves valuable, and leave me with straightforward instructions for future maintenance. Target timeline: functional prototypes within two weeks, full rollout and knowledge transfer completed inside a month. If you have previous GPT or NLP deployments—especially in trading, commodities, or e-commerce—please reference them when you reply....

...or GraphQL gateway plus a lightweight SDK will let developers plug their NLP models into the network with minimal effort. Docker-based reference nodes and clear step-by-step documentation should make it simple for new compute providers to come online. Acceptance criteria • Registry and reward contracts deployed and unit-tested • Coordination layer reliably pairing at least two NLP agents across separate nodes • SDK enabling “plug-in” integration in under 10 lines of code • End-to-end demo settling compute rewards on-chain • Comprehensive README covering node setup, SDK usage, and contract interaction Experience with decentralized protocols (libp2p, IPFS, or similar), Solidity/Rust smart contracts, and NLP deployment p...

...language, and suspicious activity while providing clear analytics and reporting. **Scope of Work:** - Build an email ingestion pipeline with secure handling - Implement NLP/ML models to detect spam, phishing, and abusive content - Real‑time classification and alerting system - Admin dashboard for monitoring flagged emails and user reports - Database integration (MySQL/MongoDB) for storing logs and analytics - Scalable backend with APIs for integration into existing systems - Documentation and hand‑off guide for future maintenance **Preferred Tech Stack:** - Backend: Python (Flask/Django) - ML/NLP: Scikit‑learn, TensorFlow, spaCy - Database: MySQL/MongoDB - Deployment: Ubuntu server with CI/CD integration - Frontend: Simple web dashboard (HTML/...

...quickly—each deployed to a staging URL I will provide. Deliverable modules • User authentication system • Data management & reporting dashboard • Real-time notifications center • Referral system (unique links, reward calculation) • Role-based access control (RBAC) • HR module (leave, attendance, appraisal) • Accounts module (invoices, expense tracking) • AI integration (basic predictive or NLP feature—we will decide together) • In-app chat feature (one-to-one & group) Acceptance criteria for every module will be: functional PHP classes, SQL schema scripts, basic CSS/JS assets, and a short markdown file explaining setup. If you are comfortable crafting performant, secure code in raw PHP and enjoy...

I want to create a...a shared code-base or robust API that feeds both fronts is ideal. I’m open to your preferred stack—TensorFlow, PyTorch, Whisper, or any other modern NLP/ASR tools—as long as model performance stays fast and the architecture can be retrained with additional corpora later. Deliverables 1. Source code with clear build instructions. 2. A runnable Android APK and a hosted web demo. 3. Documentation covering model training steps, data requirements, and how to modify voice commands. 4. Brief performance report that lists translation BLEU scores and word-error rates for speech-to-text in both languages. Please share any relevant Amharic NLP work you’ve done, outline the libraries you plan to use, and propose a timeline for protot...

I’m ready to turn a set of product requirements into a production-ready mobile application powered by modern NLP. The core idea and UX have been validated; what’s missing is the full technical build. Backend You may work in Python with Django or in a Node.js stack—whichever you can move fastest and most confidently with. The service layer must expose clean REST or GraphQL endpoints, be fully documented, and include automated tests. AI / NLP Layer The app relies on advanced language processing for classification and summarisation tasks. I’m open to integrating HuggingFace models, Google Cloud NLP, or the OpenAI API; we can choose together based on speed, cost, and accuracy. Mobile Frontend A cross-platform experience is essential. If you...

Design an Instagram Profile grid (not a single post Ad) with 3 rows & 3 columns at least for the below business. Domain: Business Name: SuperAlto Description: AI Based Car Search Engine | Find Your Next Car In Minutes Not Days Key Features: 1. AI based Search Engine 2. Faster search across multiple regions 3. Filters can be used in NLP 4. Multi-language 5. Multi-region Attached some example ads and a sample grid. It should be stylish and use Red as base color as in the example files attached. Sample of Ad: Red Car Sample of Grid: Astro Page Grid

...to images or short video clips sent by users. I’m open on the underlying stack—Dialogflow, Microsoft Bot Framework, IBM Watson, or any other platform you believe best fits WhatsApp’s constraints—so long as latency stays low and the solution can scale as traffic grows. Core deliverables: • End-to-end WhatsApp Business API setup (webhook, number verification, cloud or on-prem hosting). • NLP pipeline that handles:  – Text intent recognition and response generation.  – Speech-to-text for voice messages, with the transcript feeding the same intent flow.  – Basic media handling: at minimum detect the file type, optionally run simple image/video analysis, then return a helpful reply. • Admin panel...

I’m building a voice-driven receptionist that greets visitors or callers, listens to their questions, and replies with a natural-sounding voice. The core flow is straightforward: • Speech-to-text: Accurate recognition of English only is required for now. • NLP: Classify the intent and pull the correct answer when a caller asks about our business hours or location. • Text-to-speech: Respond with friendly, human-like audio. • Fallback: whenever the system is unsure, it should politely ask for more details rather than handing the call off or giving a canned line. I need the full stack—STT, intent handling, response generation, and audio playback—wrapped in a module that I can drop into my existing website widget today and expand to a phon...

I need a streamlined website whose sole function is to host and manage a voice-based AI call-center. The site will act as the control panel and public-facing entry point for customers who dial in, while giving me an admin ar...live) to walk me through operation. Acceptance criteria • I can place a test call, hear an AI response, press a key to escalate, and be routed to a live agent without dropouts. • Dashboard accurately shows call duration, caller ID, and transfer reason. • Latency stays under two seconds from caller speech to AI reply on a 4G connection. If you have prior work linking Dialogflow or similar NLP engines to Twilio voice flows, that will shorten development time considerably. Let me know which tools you prefer and a rough timeline for reaching...

I’m building a voice-driven receptionist that greets visitors or callers, listens to their questions, and replies with a natural-sounding voice. The core flow is straightforward: • Speech-to-text: Accurate recognition of English only is required for now. • NLP: Classify the intent and pull the correct answer when a caller asks about our business hours or location. • Text-to-speech: Respond with friendly, human-like audio. • Fallback: whenever the system is unsure, it should politely ask for more details rather than handing the call off or giving a canned line. I need the full stack—STT, intent handling, response generation, and audio playback—wrapped in a module that I can drop into my existing website widget today and expand to a phon...

...information about our products and services. A caller (or site visitor) asks a question, the system turns that speech into text, pulls the correct answer from a knowledge base I will supply, and then replies in smooth, human-sounding audio—no appointment booking, no generic FAQ chatter, just concise product guidance. Here is the scope I have in mind: • Speech-to-text captures the question. • An NLP layer (LLM, Dialogflow, Rasa, or a framework you recommend) matches the query to the right answer. • Text-to-speech returns the response in natural audio, ideally with a custom voice so it feels branded. • The module plugs into either my website chat widget or a phone line; I’m flexible as long as latency stays low and audio quality is crisp. ...

...manual CAPTCHA steps. 4. Code integrates cleanly with the existing repository structure. --- Technical Requirements * Python only * Reuse existing repository structure where possible * Keep dependencies lightweight Allowed libraries: * requests * beautifulsoup4 * pandas Avoid heavy frameworks. --- Nice to Have (Optional) * Barcode extraction if available * Product similarity matching using NLP * Unit price normalisation --- Collaboration I am happy to: * review pull requests regularly * test interim builds * provide quick feedback The goal is to build a reliable grocery price dataset that will power the Grocery comparison app....

Our Intercom inbox relies on FIN AI, yet too many chats still reach human agents. After digging into the analytics I’m convinced the root cause is the accuracy of the answers FIN serves, not the UI or core algorithm. I need an expert who can turn better training data into sharper, more dependable responses so c...Intercom accepts and guide (or handle) the import. • Run a before-and-after test to confirm improved answer accuracy and a measurable uplift in deflection rate; share the metrics and any recommended follow-ups. Success for me is simple: a clear, documented increase in accurate automated answers and a noticeable drop in tickets passed to humans. If you’ve wrestled with Intercom, FIN, or similar NLP systems before, let’s talk—my inbox (and m...

...rebuild. The priority is to improve how the bot feels and performs for end-users while keeping the existing structure intact. Conversation flow is first on the list. I want noticeably better responses, richer natural-language understanding and tighter decision-making logic so the bot steers users to the right paths with fewer misunderstandings. You are free to leverage Voiceflow’s NLP layer, custom intents or third-party NLP services if they slot in cleanly. I also want the chat UI touched up so it feels more modern and on-brand—small things such as typing indicators, avatar tweaks and smoother transition states make a real difference to perceived quality. Nothing radical, just a slicker wrapper around the flows we improve. Finally, integrations need a once-...

...interfaces Graphic & Visual Design Branding, logos, motion graphics, illustrations Adobe Photoshop / Illustrator SEO articles, landing pages, marketing copy Digital Marketing & Social Media SEO, SEM, conversion optimization Paid ads, audience targeting, analytics Video Production & Editing Promotional and social videos Premiere Pro / After Effects AI & Machine Learning Integration Chatbots, NLP tasks, model fine-tuning Python / TensorFlow / PyTorch Cloud & DevOps Infrastructure AWS / Azure / GCP CI/CD pipelines, Docker, Kubernetes Cybersecurity & Security Audits What You Should Include in Your Bid Relevant experience with one or more of the above skills Portfolio or links to previous work Estimated timeline & deliverables Hour...

...Design Branding, logos, motion graphics, illustrations Adobe Photoshop / Illustrator SEO articles, landing pages, marketing copy Technical documentation Digital Marketing & Social Media SEO, SEM, conversion optimization Paid ads, audience targeting, analytics Video Production & Editing Promotional and social videos Premiere Pro / After Effects AI & Machine Learning Integration Chatbots, NLP tasks, model fine-tuning Python / TensorFlow / PyTorch Cloud & DevOps Infrastructure AWS / Azure / GCP CI/CD pipelines, Docker, Kubernetes Cybersecurity & Security Audits What You Should Include in Your Bid Relevant experience with one or more of the above skills Portfolio or links to previous work Estimated timeline & deliverables Hourly rate or ...

...each layout on visual hierarchy, probable asset fit, and relevance to the prompt. • Return the top three candidates as Fabric-compatible JSON, ready for instant rendering on-canvas. Expect to work directly with a large template dataset (JSON + thumbnail previews), our existing rendering layer, and a set of unit tests that confirm deterministic ranking. I am open to whichever mix of NLP, rule-based heuristics, or lightweight ML proves most effective, provided it keeps latency under 500 ms per request. Please highlight prior experience building intelligent design or recommendation systems, especially any work involving , creative-ad generation, or layout scoring....

...requirement documents. Please review before bidding. Main Skills Required: * Strong Full-Stack Development Experience * Modern Frontend Framework (React / / Vue preferred) * Backend Development (Node.js / NestJS / Laravel / Django or similar) * Database Architecture Design (PostgreSQL / MySQL) * Scalable SaaS Architecture Design * AI Integration (OpenAI or similar LLM APIs) * Resume Parsing / NLP Implementation * Payment Gateway Integration (Stripe, QR payments) * WhatsApp Business API Integration * Email Automation Systems * Admin Dashboard & Role-Based Access Control * Analytics & Reporting Dashboard Development * Experience Building Marketplace or Job Portals (Highly Preferred) * Cloud Deployment (AWS / GCP / DigitalOcean or similar) * Secure Authentication & OA...

...that I need a small web-based ordering system built around a chat interface that works equally well in text and voice. Here’s the flow I have in mind. A customer opens the widget on our site (or a standalone landing page), chooses either Italian or English, speaks or types an order, and the AI takes it from there. The bot must: • understand natural language questions about the menu (advanced NLP) • guide the customer through item selection, quantities, address and preferred delivery time (basic response handling) • present the PayPal checkout, confirm payment, then return an order number • keep the customer updated through the same chat thread as the order moves from “received” to “out for delivery” (order tracking) ...

...questions per section: five short-answer, five long-answer, five MCQs • Flags the correct answer for every MCQ • Processes at least ten pages in under two minutes on a mid-range laptop Please break the work into prototype, refinement, and final hand-over milestones, provide well-commented Python code, and list any third-party libraries with their licences. If you already have demos of similar NLP or OCR projects, linking to them will help me gauge fit quickly....

I want a clear, actionable roadmap that will push our hotel to the top of answers generated by C...chunks of our content into public datasets—e.g., through high-authority guest posts, press releases or data partnerships—so our information circulates into future LLM updates. 5. Ongoing measurement • Define KPIs for generative search (snippet inclusion rate, citation count, AI-driven referral traffic) and a lightweight method to track them monthly. Please ground each step in proven SEO and NLP best practices, reference the latest Gemini/ChatGPT documentation where helpful, and keep recommendations hotel-specific rather than generic hospitality fluff. After implementation we should see our property cited more frequently and accurately whenever travellers query...

...(low resolution, skewed, shadows) Returns structured JSON output Achieves high accuracy (≥95% on test dataset) -Technical Scope - Image Preprocessing Deskewing Noise reduction Contrast enhancement Orientation detection - OCR Engine Tesseract / EasyOCR / PaddleOCR (or custom-trained model) Multi-language support (English required, others optional) - Intelligent Field Extraction Regex + NLP-based entity detection Layout-aware parsing Table detection for invoice line items -Validation Layer Date format validation Currency normalization Email/Phone validation Confidence scoring per field -Deliverables Complete source code REST API endpoint Sample dataset testing results Accuracy report Deployment guide - Bonus (Optional but Preferred) Training custom O...

What You'll Do Design, train, and deploy machine learning models for real-world applications (NLP, computer vision, forecasting, or recommendation systems). Build and optimize scalable ML pipelines using tools like Airflow, Kubeflow, MLflow, or SageMaker. Collaborate with data engineers to ensure clean, reliable data flows from source to model. Implement monitoring, drift detection, and retraining strategies for production models. Prototype new AI capabilities and translate research into production-ready features. Mentor junior engineers and contribute to technical strategy and architecture decisions. Champion best practices in MLOps, model governance, and ethical AI. What You Bring Required: Candidates must be reside in Philippines and other South East Asia. 3+ years of hands-...

I need a small working prototype that automatically tags English text with the three key parts of speech I care about—nouns, verbs and adjectives. All input will be fairly formal (think articles, reports, manuals rather than tweets), so accuracy on well-structured sentences matters more than handling slang. You are free to choose the most suitable NLP stack—spaCy, NLTK, a lightweight Transformer model, or your own custom pipeline—as long as the final code is clear, documented and easy for me to run locally. A concise README that explains environment setup, a short sample text, and the expected tagged output will complete the hand-off. Once the core tagging works reliably on a handful of representative documents, we can discuss any next steps such as expanding to ...

I need an NLP expert to help automate the analysis of text documents. Key Requirements: - Develop NLP models to analyze and extract insights from large volumes of text documents. - Improve data processing efficiency and accuracy. - Integrate solutions with existing systems. - Provide documentation and support for implementation. Ideal Skills: - Expertise in NLP and machine learning. - Experience with text analysis and data extraction. - Strong programming skills, preferably in Python. - Background in developing scalable AI solutions. Looking for innovative approaches to streamline data analysis and enhance productivity.

...Pagination CAPTCHA fallback Auto-rotate proxies Avoid being blocked Tech Stack Example: Python (Scrapy / Playwright) Node.js (for distributed workers) Proxy rotation system Queue system (Redis / RabbitMQ) PostgreSQL / MongoDB Dockerized deployment -Phase 2 – Data Processing & AI Layer After scraping: Clean & normalize data Remove duplicates Validate emails (SMTP verification) Use NLP to: Detect job roles Classify industry Score lead quality Optional: AI-based pattern detection for hidden contact info GPT-based summarization of company profile - Phase 3 – Web Application (Client Dashboard) Build a SaaS dashboard where users can: Upload list of URLs Monitor scraping progress Download results (CSV / Excel) Filter & search leads Vi...

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...academic manuscripts. The goal is to process a raw thesis manuscript (Microsoft Word or LaTeX) and generate: A fully structured and style-compliant Word version A synchronized LaTeX version A validated and consistent BibTeX database A structured compliance report The system must support dynamic style switching (APA, MLA, Chicago, or department-specific templates) using a rule-based core with optional NLP/LLM enhancement. This is not a simple document converter. It must combine deterministic structural validation with citation integrity checks. Core Functional Requirements 1. Structural Analysis & Normalization Detect and validate: Chapter and section hierarchy Figure and table numbering Appendix placement Caption formatting Restructure document hierarchy when possible Fla...

...to communicate with TSoft and Shopify APIs. • Live Operations: Tracking orders by number, stock inquiry by SKU, and automated return/exchange requests. ________________________________________ 3. Technical Requirements (Must-Have) Category Requirement Backend .NET 8+ Core (Clean Architecture, CQRS) Cloud Azure (App Service, Key Vault, Service Bus, Functions) AI Azure OpenAI (GPT-4o/o1), Turkish NLP Expertise Database Azure Cosmos DB (Optimized Partitioning for Multi-tenancy) Security PII Masking (Masking TCKN, Phone, etc. before sending to LLM) ________________________________________ 4. Project Milestones 1. Week 1: Foundation, Multi-tenant DB design, and Gupshup Webhook Ingress. 2. Week 2-3: AI Core (1500 QA set integration), Sentiment Analysis, and FAQ RAG. 3. Week 4-5...

...any book—fiction or non-fiction—and return a clear, accurate summary. The goal is simple: drop in a manuscript or an e-book file and receive a well-structured overview that captures plot points, themes, and character arcs for novels while highlighting arguments, data, and conclusions for factual works. You are free to choose the underlying approach—whether a large language model, traditional NLP pipeline, or a hybrid method—as long as the final system runs locally or via an easily deployable API and produces consistent results on books of varying length. Python is my preferred language, but I’m open to alternatives if you can justify the choice. Please make sure the solution: • Accepts common formats (PDF, ePub, plain text). • Gen...

YOUR BID PRICE IS FINAL** NO LATER CHANGE ALLOWED I can use readymade script. I want to build a self-hosted online testing platform for language profi...system May add support for Nepali and Urdu languages I can give you Pro access for 3 days Open-source libraries only Frontend in Laravel (using Quizx). See the attached videos. Fully self-hosted No paid APIs (Google, OpenAI, Azure etc NOT allowed) Clean, documented, modular code Docker-based deployment preferred Preferred Developer Skills Python (FastAPI / Django) Speech Recognition & NLP AI model integration Online exam platforms Open-source deployment Entire design to be mobile responsive. You should provide me full source code and co py r i ghgt and server installation Lowest bidder who can rpovide quality job wins the proj...

I need a custom chatbot integrated into my website ...full feature document I’ll share after kickoff. Key deliverables: • Fully functional chatbot embedded on my site • FAQ response module tied to my existing knowledge base • Context-aware CTA prompts that encourage conversions • Server-side rate-limiting logic to cap excessive requests I’ll provide the detailed specification document once we start so you can refine the flow, decide on the NLP stack (Dialogflow, Rasa, custom LLM integration, etc.), and map out milestones. Please build with clean, well-commented code and leave hooks so new intents can be added without touching the core logic. Let me know your suggested architecture, timeline, and any similar projects you have completed s...

...2. Median response time ≤ 1.5 s for a standard text query under normal load. 3. New interaction elements render correctly in the latest WhatsApp clients. 4. Dashboard or endpoint exposes the agreed analytics metrics. 5. Multi-language replies verified for at least three languages of my choosing. If you have hands-on experience with WhatsApp Business API, Wasenderapi, VPS optimisation, and NLP libraries such as Dialogflow, Rasa, or OpenAI, I’d love to hear how you would tackle this revamp and your estimated timeline for rollout....

...technical roadmap, covering everything from data pipelines and model integration to a polished, responsive UI. • Build and connect the back-end APIs, databases, and any necessary microservices. • Deliver a modern, intuitive front-end that cleanly exposes the AI features to users—responsive design and solid UX standards are essential. • Recommend and integrate best-fit AI services or custom models (NLP, vision, recommendation, or a mix as needed) and handle model deployment orchestration. What I have • Clear product requirements and user flows. • A clean slate on tech choices—I’m open to MERN, MEAN, LAMP, or another stack you can justify. What I’m looking for • Senior-level full-stack experience shipping production applicatio...

...and limits. Implement a RAG architecture for accurate, explainable QA over insurance documents. Design and maintain OpenAPI‑documented endpoints for internal and partner use. Implement safeguards for regulated workflows, auditability, and traceability of model outputs. Requirements: Proven, production‑grade experience with LLMs and RAG (please share links/examples). Strong background with NLP for long documents (insurance/legal/financial preferred). Solid API engineering skills (REST, OpenAPI, auth, versioning). Experience with compliance/audit requirements in regulated environments. Ability to propose and implement an ontology/normalization layer over heterogeneous data sources. Nice to have: Direct insurance domain experience (broker/insurer platforms, policy admin, ...

...insights to stakeholders. 5. Machine Learning Scikit-learn TensorFlow PyTorch Why: Learn supervised, unsupervised, and reinforcement learning for predictive modeling. 6. Deep Learning Neural Networks Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Why: For advanced pattern recognition, image, text, and sequence modeling. 7. Specialization Natural Language Processing (NLP) Computer Vision Social Network Analysis Why: Focus on a niche in data science for higher career impact. 8. Big Data & Distributed Computing Hadoop Spark Why: Handling very large datasets efficiently in real-world scenarios. The work will be structured around weekly video sessions, targeted exercises and project critiques. On the math side, I need you to revisit core pr...

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...manually uploads an outpatient medical-record PDF, the agent must extract the clinical narrative, map it against those guidelines, and return the recommended ICD-10 and CPT codes. For every code it surfaces, it should also present a concise explanation that cites the relevant rule or note drawn from the supplied references. The flow I picture is straightforward: drag-and-drop upload → automated OCR/NLP parsing → guideline-driven reasoning → code suggestions with rationale → downloadable report (CSV or JSON would be great). If you prefer Python with libraries such as PyPDF2, pdfplumber, spaCy, or a transformer model through Hugging Face, that works for me; just keep the solution self-contained so I can host it locally or on a small cloud instance later. D...

...can upload a de-identified sample report and immediately see the dual views populate without error. • At least three mutations receive plain-English patient explanations under 200 words each. • The physician tab lists one evidence-backed treatment path per mutation plus at least one active clinical trial, all with clickable references. If you have previous work in digital health or oncology NLP, that will help, but show me anything that proves you can chain tools, handle protected health information responsibly, and ship clean code....

...feed and translated instantly so delays, incidents, and ETA changes are easy to understand. • Location search supporting both Persian and Latin input, returning ranked results in Persian. Technical notes Native Swift or Objective-C is fine, but the finished build must sit comfortably in Apple’s review guidelines. Feel free to use MapKit, Google Maps SDK, CoreLocation, CoreML, or a third-party NLP engine—whichever combination keeps latency low and translations accurate. Offline caching for routes and language models is a plus. What I’d like to see from you Show me your relevant experience shipping location-based or multilingual apps. A concise note on how you would handle on-device translation, map data licensing, and performance optimisation will he...

...office should be able to drag-and-drop a PDF and receive a clean, well-structured draft without tinkering with settings or prompts. Key expectations • End-to-end workflow: upload → automated review (clause extraction, issue spotting, citation check) → editable draft formatted for court. • Modern, intuitive interface—web-based or desktop—where the heavy lifting happens behind the scenes through NLP, machine learning or large language models (Python, TensorFlow, PyTorch, or similar frameworks are fine). • Secure handling of sensitive material; on-prem or private-cloud deployment is acceptable. • Modular architecture so accuracy improvements or additional document types can be added later. Acceptance criteria 1. A working pro...

...knowledgeable server. The chatbot should: • Recommend dishes based on each guest’s stated preferences (diet, spice level, previous orders, etc.). • Instantly provide ingredient and allergen details on request, pulling from a structured menu database. • Surface current promotional deals or discounts when relevant to help drive upsells and repeat visits. Please build the conversational logic, train the NLP model (OpenAI, Dialogflow, Rasa—your preference so long as quality is high), and deliver it as a web widget that drops neatly into our current site stack. I’ll supply menu data, images, and promotional rules; you handle intent design, entity mapping, UI styling, and full end-to-end testing. Acceptance will be based on: 1. Visitors can co...

...Analyze scanned LLP documents (PDFs, scanned records, shop visit reports) • Extract key data (Part Number, Serial Number, Cycles, TSN/CSN, installation history, removal history) • Validate traceability from Birth to Current Status • Identify missing records or gaps in documentation • Flag inconsistencies automatically • Generate structured summary reports Technical Expectations: • Experience with NLP and document processing • OCR integration (for scanned aviation documents) • Machine learning / LLM integration • Experience with PDF parsing & structured data extraction • Database design for traceability tracking • Secure system architecture Nice to Have: • Experience in aviation / aircraft technical records •...

...extract the salary components and present them in a clean table • list all obligations in a separate table • flag any missing or still-required documents • surface incomplete form fields with exact locations • generate a short list of probable follow-up queries the credit team is likely to ask Accuracy on figures and entity recognition is critical, so combine OCR (for scanned PDFs) with NLP techniques; I am open to libraries such as Tesseract, Azure Form Recognizer, Google Vision, spaCy, or a lightweight custom model if that gives better control. The final deliverable is a web-based or desktop tool (whichever you build faster) that I can host on-prem. Source code, setup instructions and a brief user guide are part of the hand-off, along with a samp...

...Analysis Calculate and visualize which instructors are profitable vs. costing the company money Show instructors who left before reaching "breakeven point" (recouping 50k QAR licensing cost) Display total financial loss from early departures Visual: Red/Green bar chart showing value contribution FEATURE B: Ethical Risk Detection & Islamic Values Protection Analyze student feedback comments using NLP (Arabic/English) to detect red flags Flag instructors showing patterns of: Bribery indicators ("bribe," "pay extra," "express pass") Inappropriate conduct with female students ("uncomfortable," "phone number," "comments") Foul language or behavior contradicting Islamic values Display risk scores (Red/...

...fully architected with a detailed technical brief ready for implementation. The core value proposition is a "Zero-Input" user experience driven by autonomous AI agents and integrated Live Commerce. Technical Stack • Frontend: FlutterFlow (Native Flutter/Dart export capability required).  • Backend: Firebase Blaze Plan (Firestore, Auth, Cloud Functions).  • AI Engine: OpenAI GPT-4o-mini (Vision & NLP) + Pinecone (Semantic/Vector Search).  • Video: (Ultra-low latency broadcast streaming).  • Automation: Firebase Cloud Functions orchestrated via Node.js.  Key Modules for Implementation 1. Autonomous AI Agent System: • Development of three specialized agents (Marketing, Sales, and Logistics) that utilize Fires...

...Workstation image and cloud instance both spin up and run the same codebase. 2. A demo chatbot answers test questions pulled from my text corpus with at least 90 % accuracy on an agreed validation set. 3. Full documentation and commented code are provided in a private repo. 4. I can reproduce training and deploy a new model end-to-end in one command. Please respond with examples of similar AI or NLP infrastructures you have designed or deployed— screenshots, repos, or live demos are all welcome....

I need an AI developer to create an AI system that can interact on Instagram and Google My Business. Requirements: - Respond to comments and posts - Platforms: Instagram and Google My Business - Dynamic, personalized responses - Tone: Prof...need an AI developer to create an AI system that can interact on Instagram and Google My Business. Requirements: - Respond to comments and posts - Platforms: Instagram and Google My Business - Dynamic, personalized responses - Tone: Professional yet friendly Ideal Skills and Experience: - Strong background in AI development - Experience with social media automation - Natural Language Processing (NLP) expertise - Ability to create friendly, professional response templates I'm looking for a developer who can deliver a robust and adaptab...

I need a compact Python solution that watches my inbox in real time, decides whether each incoming message is Work-related, a Promotion, or Personal, and then takes the right next step automatically. For every Work-related message it should be moved into a dedicated Work folder, flagged for follow-up, and—when I...summarising precision/recall after you validate on at least 30 sample emails per category Acceptance criteria • Minimum 90 % accuracy across the three categories on the provided test set • No message loss or duplication during the move/flag/reply workflow • Clean exit and helpful error reporting when the mailbox is unreachable or credentials are wrong If you have prior examples of email NLP or IMAP automation, point me to them so I can get ...