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...Color contrast analysis Navigation & menu accessibility Modal/dialog accessibility Responsive/mobile accessibility Review of downloadable PDFs (if applicable) Automated tools (axe, Lighthouse, etc.) may be used, but manual validation is required. Audit Deliverable A structured document (PDF or DOCX) including: List of all identified issues WCAG reference (exact success criterion) Severity classification (Critical / Major / Minor) Technical explanation of the issue Clear implementation recommendation Screenshots where relevant The audit must be professional and suitable for compliance documentation. After approval of the audit: Fix all identified accessibility issues Implement proper semantic solutions (no unnecessary ARIA hacks) Ensure clean, maintainable code Avoid plugi...

I need a reliable set of hands to keep our books current in MYOB. Day to day you will log in to our cloud account, pull the files I place in our digital folders, and enter three core items—invoices, receipts, and expense records—straight into the system. Accuracy matters more than speed, so every total, GST code, and account classification must match the source document. The workflow is simple: • Open the shared folder, review the PDFs, and confirm legibility. • Post each transaction in MYOB, cross-checking dates, supplier names, and tax amounts. • Update the linked Excel reconciliation sheet so I can track progress in real time. All source documents are already digitised, so no scanning is needed; just tidy naming and archiving once the entry ...

I need a complete machine-learning pipeline that can look at medical images—specifically plain-film X-rays—and tell me whether each study is of the chest, abdomen, or an extremity. All input files will be standard hospital exports (mostly DICOM, occasionally PNG/JPEG), so the model must handle typical variations in resolution and contrast. What I’m after is a reproducible, well-documented solution: data preparation, augmentation, model architecture (a CNN in TensorFlow, Keras, or PyTorch is fine), training, and evaluation. Please include class-balanced splits, explain any preprocessing you apply, and show the metrics you achieve on an unseen validation set. Deliverables • Python code with clear comments for preprocessing, training, and inference • Trained ...

...to put in place a unified metadata management framework that improves governance across the board, with a special emphasis on meeting strict Compliance requirements. The scope covers information architecture, controlled vocabularies, and an enterprise-wide taxonomy that standardises terminology between systems. The work will culminate in a reusable model that makes stewardship activities—classification, retention, lineage tracking—far easier and more defensible. Key deliverables • A logical and physical data taxonomy covering all major subject areas • Controlled vocabulary and synonym ring to eliminate naming conflicts • Metadata schema and attribute definitions aligned to our governance policies • A lightweight set of governance guid...

I’m ready to commission a clean, modern logo paired with a matching “hazard wheel” graphic. The logo needs to blend text and an image in a way that feels sharp and contemporary while sticking strictly to a neutral palette—think black, white and subtle grays so it remains versatile across light or dark backgrounds. Alongside the logo, I also need a circular hazard-classification wheel that carries the same visual language. It should use the identical neutrals and typography so both pieces look like they belong in the same brand system. I will supply final wording for the text segments on the wheel once we agree on the layout; you simply leave placeholder text for now. Deliverables • Vector logo (AI, PDF, SVG) plus PNGs with transparent backgrounds &...

...that use Claude (Anthropic) or any other fit-for-purpose LLM to automate one core business goal: streamlining customer service requests that touch our finance operations. We also The workflows must be able to: • Ingest the incoming request—whether it arrives by email, form, or chat—identify it as finance-related, and extract the key facts. • Send the request through an LLM prompt chain for classification, summarisation, and suggested next actions. • Trigger follow-up steps inside n8n (routing to the right teammate, updating our ticketing system, posting a Slack/Microsoft Teams message, or calling an external API) with graceful error handling and clear logging. Acceptance criteria • Deployed on our self-hosted n8n instance with version-cont...

...with an "Add another part" feature to request multiple items simultaneously. A notes field is provided, and the customer has the optional ability to upload photos. Data: Selection of (Make, Model, Variant) from pre-defined options, with support for reading the Vehicle Identification Number (VIN) from a registration photo or manual entry to fetch data automatically via API. Classification: Orders are separated by type (Original - Commercial - Salvage) to ensure auction accuracy. Locations: Options for (Manual, Workshop) with mandatory National Address entry. Address System: Location determination via maps such as Google Maps. is preferred that customers register their vehicle data upon entering the application, so they can simply select it when ordering

...structure publicly available business and market data, then build reliable automations using Make or n8n. The work involves sourcing data via approved APIs, data providers, or compliant extraction methods, cleaning and normalizing it, and integrating it into tools such as email platforms, CRMs, or Google Sheets. Some workflows may include AI services (e.g., ChatGPT or other LLM APIs) for classification, enrichment, or filtering. Ideal candidates have strong API experience, understand data reliability and error handling, and can build documented automations that run on schedules with minimal supervision. We have a number of automation projects in the pipeline. We are looking for someone who can dedicate time to this. If this is going to be one among a thousand projects and ...

...Law is the law of the land, applicable throughout India It is mainly based on the Indian Constitution (1950) The Constitution is the supreme law of India Sources of Indian Law Constitution of India Legislation (Acts passed by Parliament & State Legislatures) Judicial precedents (Decisions of Supreme Court & High Courts) Customs and usages Personal laws (Hindu, Muslim, Christian, Parsi laws) Classification of Indian Law Constitutional Law – structure, powers, and functions of government Criminal Law – offences and punishments (IPC, CrPC) Civil Law – private rights and remedies Administrative Law – control of administrative authorities Personal Law – family matters like marriage, divorce, succession Commercial Law – trade, contracts, comp...

The project centres on building a production-ready text-classification pipeline that leverages modern deep-learning techniques. I have a labelled dataset and need end-to-end code that ingests the text, handles cleaning and tokenisation, and trains an accurate classifier. Python is the preferred language; using PyTorch, TensorFlow or another mainstream framework is fine as long as the solution is reproducible and easy to extend. Key deliverables: • Well-commented source code (data loading, model, training loop, evaluation) • Clear instructions to run training on a fresh machine (README or notebook) • Metrics report showing accuracy, precision, recall and F1 on a held-out set • Exported model weights and a small inference script or API endpoint for batch pre...

...deadline • Attachments (photos, drawings, part list) • Create Job Code in customised software • Assign case owner (Service Coordinator) Status: NEW – Under Review ⸻ B. Decision Branch: Service vs Spares Workflow If enquiry = Service → Service Vendor Workflow If enquiry = Spares → Supply Vendor + Logistics Workflow If both → Run parallel workflows Module Purpose Email Intake Agent Enquiry classification + job creation Service Vendor Engine Service RFQ + attendance coordination Spares Procurement Engine Part sourcing + supplier quotes Logistics Costing Engine Freight + delivery planning Quote Builder Margin-based customer quotation PO Compliance Gate PO number + billing validation Execution Tracker Attendance/delivery monitoring Document ...

...fields Brand Model (normalized) Serial number / chassis number / internal ID Name variants Serial ranges (if applicable) This entity is used to filter and relate documents precisely. 6. Intelligent Indexing of the Cloud All content is automatically indexed. PDFs Internal text OCR per page (for scanned documents) Tables References Page numbers Images OCR of visible text Automatic classification (plate, part, schematic, general photo) Excel Sheet reading Columns Cells Relationships between data Each document is linked to one or more machines with: Confidence level Evidence (page or text where model/serial appears) 7. Machine Identification via Plate Photo This is the primary identification method. Flow User sends a photo of the identification plate OCR...

...large datasets Secure embedded PDF viewer (no download) Conditional panels for AI insights (Pro users) or ads (Free users) Multi-language UI: English & Spanish Backend & Infrastructure Backend using FastAPI or Node.js Document storage on AWS S3 Native PDF text extraction (no OCR) Automated weekly indexing pipeline Vector embeddings stored in Pinecone or Milvus Metadata-driven document classification Security & DRM OAuth 2.0 authentication & authorization Secure document streaming only Dynamic watermarking (user name + IP address) Disable copy, print, and save in viewer Full access logging AI & Semantic Search Vector-based semantic search Retrieval-Augmented Generation (RAG) LLM integration for: Document summaries Contextual financial insi...

...multi-language interface, allowing users to toggle between English and Spanish for navigation and system menus. Table of Contents 1. Frontend Architecture and Interface (SPA) 2. Backend, Infrastructure, and Data Pipeline 3. Security and DRM (Digital Rights Management) 4. Semantic Engine and AI Integration 5. Monetization and Ad Management 6. Development Plan for Quoting (Milestones) 7. Annex: Classification Logic and Nomenclature 8. Economic Proposal and Timeline 9. Payment Terms 10. Warranty and Post-Implementation Support 1. Frontend Architecture and Interface (SPA) Development as a Single Page Application (SPA) for fluid navigation. 6-level tree structure (Country > Sector > Company > Year > Period > File) with lazy loading. Modular layout with integrated PDF ...

...multi-language interface, allowing users to toggle between English and Spanish for navigation and system menus. Table of Contents 1. Frontend Architecture and Interface (SPA) 2. Backend, Infrastructure, and Data Pipeline 3. Security and DRM (Digital Rights Management) 4. Semantic Engine and AI Integration 5. Monetization and Ad Management 6. Development Plan for Quoting (Milestones) 7. Annex: Classification Logic and Nomenclature 8. Economic Proposal and Timeline 9. Payment Terms 10. Warranty and Post-Implementation Support 1. Frontend Architecture and Interface (SPA) Development as a Single Page Application (SPA) for fluid navigation. 6-level tree structure (Country > Sector > Company > Year > Period > File) with lazy loading. Modular layout with integrated PDF ...

I need a skilled data labeler to prepare images for an AI model using Azure Custom Vision. The task involves labeling images with object classification. Requirements: - Labeling images of traffic signs, equipment, and other items - Classifying objects in the images Ideal Skills and Experience: - Experience with Azure Custom Vision - Proficiency in image labeling and data annotation - Ability to deliver high-quality labeled data quickly - Attention to detail and accuracy If you have relevant experience and can work within a tight timeframe, I'd love to hear from you!

...profiles: • 17‑hydroxyprogesterone • Testosterone • LH, FSH • Anti‑Müllerian hormone (AMH) • Cortisol levels • Karyotype results (e.g., 46,XX; 46,XY; mosaic patterns) • Additional endocrine tests depending on case pathways D. Imaging Findings • Pelvic/abdominal ultrasound • Genital ultrasound • MRI findings where available E. Final Diagnosis and Management • Chicago Consensus classification • Gender assignment decisions • Surgical interventions (if any) • Endocrine management and follow‑up plans --- 11. Data Management and Analysis Data will be entered into Excel / REDCap and analysed using SPSS / Stata / R. Analysis Plan • Descriptive statistics (mean, median, frequency, percent...

I need a small, self-contained tool that lets me type a single email address, click “Verify”, and instantly learn—right on the same page—whether that address is hosted on Google Workspace or on Microsoft Outloo... Keep the UI clean: one input box, one button, and a neatly formatted result. Deliverables: • Complete, well-commented source code • Brief read-me explaining setup and how the detection logic works • Live demo or runnable build so I can test a few addresses before sign-off The project is finished when I can verify an address like “user at ” and get an immediate, correct classification as Google Workspace or Outlook. By on outlook or workspace i mean email ! not google drive .. because user can exist on outlook or g...

...restaurants and bars in their cities and capture clear photos of drink and beverage menus using a structured format we’ll provide. The information to be collected includes the venue name, address, type, and price range. The cities covered are Banqiao, Hsinchu, Hualien, Kaohsiung, Keelung, Taichung, Tainan, Taipei, Taoyuan, and Yuanlin Payment ranges from $5–$7 per venue, depending on the classification tier of the assigned city and there will be no limits on the number of restaurants that you can visit and assets you can submit. Additional details will be shared with shortlisted freelancers....

...and bars in their cities and capture clear photos of drink and beverage menus using a structured format we’ll provide. The information to be collected includes the venue name, address, type, and price range. The cities covered are Chon Buri, Hat Yai, Mueang Nonthaburi, Nakhon Ratchasima, Pak Kret, Samut Prakan, Si Racha, and Udon Thani. Payment ranges from $5–$7 per venue, depending on the classification tier of the assigned city and there will be no limits on the number of restaurants that you can visit and assets you can submit. Additional details will be shared with shortlisted freelancers....

...uniform or showing a badge (using object detection like YOLO). * Real-Time Risk Dashboard: * A simple UI that displays a "Trust Score." If the score drops below a threshold, it shows a "SCAM ALERT" warning. Preferred Tech Stack: * Language: Python * ML Frameworks: TensorFlow / PyTorch / Keras * Computer Vision: OpenCV, MediaPipe * NLP: Hugging Face Transformers (BERT/RoBERTa for intent classification) * Interface: Streamlit or Flask (for the demo dashboard) Deliverables: * Source Code (well-commented). * A file for easy installation. * A short demo video showing the system detecting a scam attempt from a sample video file. * Documentation on the model architecture used. Screening Questions Questions for you? * "For the deepfake detection,...

I need a small, self-contained tool that lets me type a single email address, click “Verify”, and instantly learn—right on the same page—whether that address is hosted on Google Workspace or on Microsoft Outloo... Keep the UI clean: one input box, one button, and a neatly formatted result. Deliverables: • Complete, well-commented source code • Brief read-me explaining setup and how the detection logic works • Live demo or runnable build so I can test a few addresses before sign-off The project is finished when I can verify an address like “user at ” and get an immediate, correct classification as Google Workspace or Outlook. By on outlook or workspace i mean email ! not google drive .. because user can exist on outlook or g...

Senior Automation Engineer Needed – CRE Deal Intake AI Agent (Email → NDA → OM → Drive) We are a commercial real estate investment firm receiving hundreds of broker emails daily with new opportunities. We already have: ✅ Email classification ✅ CRM creation ✅ Email thread summarization ✅ Draft replies ✅ Google Drive → CRM ingestion pipeline What we need built: A deal intake automation agent focused ONLY on handling inbound opportunities. This is NOT a ChatGPT bot. This is a production automation system. ⸻ Core Responsibilities Build an agent that: 1. Gmail Monitoring (3 inboxes) • Watches Gmail via API • Detects deal-related emails • Identifies: • OM attachments • OM links • NDA links • NDA attachments ⸻ ...

...intuition for: o Wavelets and spectral analysis o Filter design and signal conditioning o Feature selection and interpretability • Practical experience with: o Bayesian hierarchical models o MCMC (Stan, JAGS, custom implementations) o Longitudinal and mixed-effects modeling • Comfort translating math and code into biologically meaningful insight Why this is interesting • You’ll work on post-hoc classification, time-series longitudinal data (regression) and individuation for early-warning biology • The problems are technically demanding and scientifically consequential • This is a chance to apply serious signal processing where it can change outcomes—not just metrics Engagement details • Include the word for mother in your native tongue ...

I want to bring to...what I’d like from you: • A brief proposal on the sensor sampling strategy, choice of algorithms, and any frameworks you would use (Core Motion, Core ML, Create ML, etc.). • A clear estimate of time and cost covering coding, a minimalist SwiftUI interface, and unit/UI testing on recent iPhone models. • Notes on past projects or research that show relevant experience—anything involving motion classification, health monitoring, or activity recognition will help me gauge fit. If you can outline milestone deliverables and expected acceptance criteria—for example, detection accuracy thresholds and battery impact—that will speed up our kickoff conversation. I’m eager to get started and iterate quickly, so please share your...

...and alerts. The system follows a serverless architecture where security rules are managed through Firestore rules. The architecture supports multi-tenant functionality with hospital-level data isolation. Artificial Intelligence Generative AI using the Gemini API is integrated for medical summaries and clinical analysis. On-device AI is implemented using TensorFlow Lite for offline disease classification and suggestion logic. Local JSON-based datasets are used for storing information about medications, precautions, and self-care guidelines. Core Features and Functionality Global and Common Features The system supports multi-role authentication including System Admin, Hospital Admin, Doctor, Receptionist, and Patient. Real-time notifications are provided for appointments, prescr...

...aftermarket systems that drive equipment demand and lifetime value. This role is accountable for deploying scalable, AI-enabled marketing programs that connect products, parts, service, and channels into measurable commercial results. Overview The Marketing Lead – Strategy Deployment is responsible for translating marketing strategy into executed national programs for advanced screening, classification, separation, and material reduction equipment and processing lines. This role owns deployment across campaigns, digital platforms, and aftermarket systems, using AI tools to improve speed, precision, and commercial impact. Key Objectives Deploy national marketing programs that strengthen brand authority and drive demand. Build and scale a digital parts and service portal...

...Requirements VAPI Production number setup and call flow configuration with strict call duration and usage limits during testing, controlled call termination, and structured webhook payloads. VAPI to Make Inbound webhook handling with strict required field validation, duplicate control using call id, and correct HTTP responses and error handling without disabling scenarios. Make Logic Service classification including emergency, diagnostic, and repair, distance based pricing, emergency prioritization, diagnostic deposit logic, repair approval flow, and proper handling of HTTP 400, 422, and 500 errors. All existing Make scenarios will be exported and backed up before changes, with rollback to the last stable version in case of failures. Square Customer creation or lookup, payme...

...English speaker for a quick PII project for one of our Enterprise clients. The task involves reviewing conversations between users and a model interface and identifying or flagging Personally Identifiable Information (PII) in user messages. Requirements: - Must be an Indian English speaker. - Detail-oriented and able to follow guidelines accurately - Previous experience in data annotation or classification is a plus (but not required) Pay Rate: $3.36...

...spatial data for the area; your job is to run the necessary spatial analysis, clean and style the layers, and deliver a map that speaks for itself in both accuracy and visual appeal. The scope is limited to a single local region, yet I want the work treated with the same rigor you would apply to a national study. Please handle projections, manage metadata, and document any interpolation or classification methods so that the workflow can be reproduced. Deliverables must include: • The QGIS project file with all relative paths intact • A high-resolution PDF and PNG of the final map layout • Any intermediate datasets you generated during analysis • A brief text summary (one page is fine) outlining data sources, processing steps, and key findings about wat...

...standardize existing pipelines 3. Architecture & Ownership Take ownership of ingestion and scraping systems end-to-end Proactively suggest improvements, tools, and architectural changes Help define best practices as we scale the engineering team Communicate clearly about blockers, risks, and timelines 4. AI & Automation (Bonus but Important) Assist with AI-powered workflows (data enrichment, classification, analysis) Integrate AI tools where they meaningfully reduce manual work Help evaluate models, APIs, and automation strategies Required Experience 5+ years as a full-stack or backend-focused engineer Strong experience with web scraping at scale Comfortable with messy, real-world data Experience building ingestion pipelines that don’t break quietly S...

I’m running a research-grade study on how different transfer-learning strategies affect deep-learning image-classification accuracy and efficiency, and I’d like a PyTorch expert to help me turn the experimental plan into clean, reproducible code and an insightful report. Here’s what I need from you: • A well-structured PyTorch pipeline that can load a few supplied image datasets, swap in multiple pretrained backbones (e.g., ResNet, EfficientNet, ViT) and fine-tune them under several common strategies (feature extractor, full fine-tune, layer-freezing variants). • Training scripts or notebooks with clear logging of hyper-parameters, metrics, and run times so results are comparable across experiments. • A concise written analysis summarising ...

...stating: The investigation was conducted independently No files were altered during the audit Findings are accurate to the best of your professional knowledge 8. Optional (If Requested Separately) Recommendations for remediation Proposed clean-up or rebuild strategy Risk-mitigation roadmap Deliverables Security & Integrity Audit Report (PDF or DOC) Plugin & File Inventory List Risk Classification Summary Signed declaration of findings (digital signature acceptable)...

...with an "Add another part" feature to request multiple items simultaneously. A notes field is provided, and the customer has the optional ability to upload photos. Data: Selection of (Make, Model, Variant) from pre-defined options, with support for reading the Vehicle Identification Number (VIN) from a registration photo or manual entry to fetch data automatically via API. Classification: Orders are separated by type (Original - Commercial - Salvage) to ensure auction accuracy. Locations: Options for (Manual, Workshop) with mandatory National Address entry. Address System: Location determination via maps such as Google Maps. is preferred that customers register their vehicle data upon entering the application, so they can simply select it when ordering

I offer various options to help you organize and clean up your accounting records in QuickBooks. Here are the services I provide: - Review and Correction of Transactions: I examine existing transactions in QuickBooks Online and correct any errors or discrepancies in the accounts. - Bank Reconciliation: I ensure that bank transactions match the records in QuickBooks Online. - Classification of Expenses and Income: I correctly organize and classify transactions into the appropriate categories. - Duplicate Removal: I look for and eliminate duplicate transactions or unnecessary records that may inflate financial reports. - Inventory Regularization: If you manage inventory, I verify the accuracy of inventory records and adjust quantities as necessary. - Missing Data Update: I complete an...

Project: Build a Rules-Based Triage Chat for a 36-Month Tax-Foreclosure System Budget: $250–$750 Funds ready. Hiring immediately. What This Is This project is to build a professional, rules-based chat intake system that mirrors a 36-month property-tax foreclosure timeline used in Detroit / Wayne County. This is not a generic nonprofit chatbot. This is a time-stage classification and routing system. If you do not build decision trees tied to legal timelines, do not apply. Core Function (Very Specific) The chat must do one primary job: Correctly classify a property owner into ONE of four stages, then route them to the correct action and resources. The four stages are fixed: Stage 0 – Billed (Current Year / Safe Zone) Stage 1 – Delinquent (≈ 12 months) Stage 2 ...

...prepare a technical and economic study for a phosphate processing and washing plant with a target capacity of 10,000 tons per day. This scope focuses only on factory setup and production infrastructure. Market analysis and selling prices are not required, as these are already defined. Scope of work: Detailed list of required machinery and equipment, including: Crushers / mills Washing units Classification and separation systems Dewatering units Conveyors and auxiliary systems Production capacity analysis for each processing stage to achieve 10,000 TPD Conceptual plant layout, including: Equipment dimensions Space requirements Process flow diagram Estimated CAPEX for plant setup (equipment, installation, and infrastructure) Operational requirements: Power consumpti...

...developer to build a barcode-scanning app that determines whether a product is Halal, Vegetarian, Vegan Kosher or Doubtful based on its ingredients. The app must retrieve product images, ingredient lists, and allergen information from online sources, including supermarkets. Key Features: Barcode scanning (EAN/UPC) Product lookup with images, ingredients, and allergens Halal / Haram / Doubtful classification Ingredient-level analysis with explanations User accounts with a coin system New users: 100 coins Each scan: 10 coins Scan history and clean UI Technical Requirements: iOS & Android (Flutter or React Native preferred) Backend for product data, ingredient rules, and coin management Ability to update ingredient rules without app updates Deliverables: Mobile a...

...automation. We are looking for a Senior AI Engineer who has real production experience with LLMs, not demo-level experiments. This is a long-term role for someone who can design scalable AI pipelines, ship fast, and think like a system architect. -What You Will Build AI pipelines that analyze recorded conversations (speech → text → structured insights) LLM-based systems for summarization, classification, objection detection, and recommendations RAG pipelines with embeddings, vector search, reranking, and evaluation Scalable FastAPI microservices for AI inference Cost-efficient and low-latency LLM workflows Production-ready systems with monitoring, evals, and performance optimization -Required Experience We are only looking for candidates with real production AI experi...

I'm looking for a skilled Power BI or Tableau developer to create an interactive dashboard. The data source will be an Excel spreadsheet containing workforce data. Key Requirements: - Connect to Excel spreadsheet - Visualize workforce data with: - 4 classification - distributions by regions - Gender analytics - Interactive map of the country Ideal Skills and Experience: - Proficiency in Power BI or Tableau - Experience with Excel data integration - Strong data visualization and analytics skills - Ability to create interactive maps Please provide samples of similar work done.

...designed to operate in real time using surveillance camera inputs. It employs a Spatial–Temporal Graph Convolutional Network (ST-GCN) for multi-person action recognition, enabling the system to analyze human skeletal motion patterns and classify both normal and abnormal behaviors in crowded environments. To strengthen threat assessment, the action recognition module is complemented by an image classification and object detection pipeline that identifies weapons and potentially dangerous objects, such as firearms or other threatening items, directly from video frames. By fusing behavioral cues with object-level visual evidence, the system achieves more reliable and context-aware threat detection, significantly reducing false positives. All processing is implemented on a Rasp...

...type such as discontinuance, abandonment or trial. After locating each matching matter, the program should download the full docket and supporting PDFs, then generate a concise plain-language summary explaining why the action was terminated. All results have to be compiled into a single Excel sheet—one row per case—showing docket number, court, parties, filing and termination dates, outcome classification and the generated summary, with hyperlinks to the downloaded files stored locally or in an S3 bucket. Deliverables • Source code (Python preferred, but I’m flexible) with clear setup instructions • A working executable or notebook that performs the search and produces the Google sheets or Excel report • Sample run demonstrating retrie...

...Detection & Extraction Upload image or PDF Detect document layout Identify and extract: Patient name Date Test name Test values Output Structured JSON Chatbot summary response Tech OpenCV for preprocessing OCR using Tesseract or equivalent 3. Live CCTV Computer Vision (MVP) Input Image or short video clip Simulated live feed using video frames Detection Person detection Count people Basic classification: Patient (bed or resting posture) Visitor (standing or moving) Tracking Track movement across frames No identity recognition Emergency Detection Fire or smoke Crowd congestion Abnormal situations: Person lying on floor Sudden group gathering Visual Output Bounding boxes for people Circles or highlights for danger zones Annotated frames Chatbot Alerts Text-based alerts inside...

...extracted field so I know when to double-check the data Acceptance criteria 1. App captures 100 % of incoming WhatsApp messages and images while device is unlocked or unlocked. 2. At least 98% of clearly formatted listings are identified as non-junk. 3. Extracted fields populate correctly into the database and are visible in the UI search. 4. APK runs on Android 10+. Let me know which classification approach you recommend and any libraries you plan to use for OCR, NLP, and database handling. I’m ready to start as soon as you can outline your proposed tech stack and timeline....

I will share a purely categorical dataset and need it turned into a clear, well-documented end-to-end classification workflow that I can study for academic purposes. Using Python with Pandas, NumPy, scikit-learn, and visualisations in Matplotlib or Seaborn, start with an exploratory review, handle all cleaning and preprocessing (encoding, missing values, feature selection), then build and compare suitable classification models. Sound evaluation—accuracy, precision, recall, F1 or any metric you judge relevant—must accompany the models, followed by a concise discussion of the results and why a particular approach performs best. Please highlight your experience with similar projects when you respond; I value demonstrated know-how over long proposals. Deliverables I...

...PyTorch. Guidance on best practices for data preprocessing, model selection, evaluation and error analysis is essential, along with tips on how to present this work in a résumé or GitHub repo. Deliverables I have in mind: • A personalised learning roadmap with milestones • Live or recorded sessions focused on theory followed by coding walk-throughs • Two to three guided projects (e.g., text classification, named-entity recognition, simple chatbot) that I can showcase • Brief feedback on my code, documentation and interview explanations Please highlight your relevant experience with NLP frameworks and any mentoring or teaching you’ve done when you reply. We’ll agree on timelines, session format (Zoom, Jupyter notebooks, etc.) a...

I’m looking to bring to life a lightweig...looking for from you: A brief technical proposal covering sensor sampling strategy, algorithm choices, and the frameworks you’d use (e.g., Core Motion, Core ML, Create ML). A clear estimate of timeline and cost, including core development, a minimalist SwiftUI interface, and unit/UI testing on recent iPhone models. Notes on relevant past work or research—especially anything involving motion classification, activity recognition, or health-related monitoring—to help me assess fit. If possible, please also outline milestone deliverables and acceptance criteria, such as target detection accuracy and expected battery impact. I’m keen to get started and iterate quickly, so I’d love to hear your thoughts and an...

...tolerance You develop practical implementation approaches that consider stakeholder needs In this summative assessment, you will develop a comprehensive security policy addressing a specific area of cybersecurity risk. You'll apply concepts from the first three units to create a policy that is both technically sound and organizationally appropriate. Choose ONE of the following policy areas: Data Classification and Handling Policy Third-Party Risk Management Policy Incident Response Policy Remote Access Security Policy Your policy document should include: Policy purpose and scope Roles and responsibilities Specific policy requirements and controls Compliance monitoring approach Implementation and communication plan Training requirements Policy review and update process Del...

I’m kicking off an AI initiative that hinges on natural language processing and want to start with something I can see and touch. If you already host an NLP demo on your own site—whether it’s a chatbot, text-classification dashboard, summarizer, or semantic search tool—share the link so I can judge real-world performance, interface quality, and overall fit. Once I’ve tested your demo, I’ll outline the domain specifics and grant data access. The engagement will revolve around refining your existing model, exposing a clean REST or GraphQL API, and deploying the solution to my cloud environment (AWS or GCP). Solid accuracy, low latency, and well-documented Python code that leverages libraries such as Hugging Face, PyTorch, TensorFlow, or LangChain a...

...Build explicit, deterministic execution pipelines for AI workflows Enforce correct sequencing (e.g., ensuring required files exist before install or build steps) Implement validation and gating logic to prevent invalid or unsafe execution Design systems that do not rely on “LLM correctness” alone Failure Handling & Safety Prevent infinite retry or fix loops using: Retry limits Error classification State tracking Human-in-the-loop or fallback mechanisms Design clear failure states and recovery paths for AI-driven workflows Log, monitor, and analyze failure patterns to improve system reliability Sandboxed & Isolated Execution Design and operate sandboxed execution environments for untrusted or AI-generated code Diagnose issues caused by: Environme...