Dataset curation jobs

The project involves developing a machine learning pipeline for Remaining Useful Life (RUL) prediction using the NASA C-MAPSS dataset. The work will cover data preprocessing and basic exploratory data analysis to understand sensor behavior and engine degradation patterns. Rolling and derived features will be created to improve model performance, followed by an engine-wise train/test split to ensure proper evaluation. A Linear Regression model will be implemented as a baseline, along with a Random Forest or XGBoost model for improved prediction performance. Models will be evaluated using MAE and RMSE, with basic RUL-focused error analysis to understand prediction accuracy. The final deliverable will be a clean, well-structured GitHub-ready project, including source code, analysis, re...

I need a clean, up-to-date spreadsheet that lists Polish companies at scale. The file must contain th...Email Address, and Sector—and total no fewer than 300 000 unique records. Automated web-scraping or API harvesting is the only collection method I will consider; manual research is out of scope. Please structure the delivery as a single XLSX (or compatible) file. In your proposal tell me: • how many records you can supply for each sector you intend to cover, • your total price for the full dataset, and • the estimated turnaround time. Data quality matters: I will sample for duplicate domains, obvious syntax errors, and bounced addresses, so plan for basic validation before hand-off. If this is within your capabilities, I look forward to seeing your sect...

...duplicates, outliers or empty cells and add subtle banding for readability. • Standardise headers, data types, currency and date formats so the sheet can feed directly into pivot tables or dashboards without further tweaks. Deliverable: a single .xlsx file returned with all conditional formatting in place plus a brief note describing the rules you set up so I can update them later. The first dataset is ready to share as soon as you come on board, and smooth collaboration on this file could lead to a steady stream of similar exports....

I’m sitting on a raw dataset that first needs solid Data cleaning before it can tell its story. Once the errors, blanks, and duplicate records are resolved, I want the cleaned information transformed into an engaging Excel Dashboard that surfaces trends and key metrics at a glance. Finally, I need a brief Data reporting pack that explains the findings in plain language and highlights any actionable insights you uncover. You’re free to leverage Excel’s full toolkit—Power Query for transformation, PivotTables or dynamic arrays for quick aggregation, and slicer-driven charts for the final dashboard—so long as the result is intuitive for non-technical users and easy for me to refresh with new data. Deliverables: • Fully cleaned worksheet with all t...

...that must be keyed in with absolute accuracy and consistent formatting. The source material spans printed pages, handwritten notes, and a handful of digital files; I will supply high-resolution scans or the originals as needed. The job is straightforward: transcribe every field exactly as shown, double-check for typos or missing values, and standardise dates, numbers, and names so the final dataset is clean and immediately usable. Excel works well on my end, though I’m open to CSV or an SQL dump if that streamlines your workflow. Deliverables • A single, well-organised data file in the agreed-upon format • A brief log highlighting any unclear entries or duplicates you encountered Acceptance criteria • ≥ 99 % accuracy when spot-checked • Unif...

...learning expert to help with a ML project . Work includes: ML projects for my GitHub. The focus is on writing clean, readable, and well-organized code, not relying on AI-generated/copied code. Structuring everything like a real ML project, with separate files for preprocessing, training, evaluation, etc., along with notebooks where include a clear README, , .gitignore, dataset instructions, results, visualizations, and other necessary files so someone can clone the repo and understand and reproduce the project easily. The goal is to make the projects look professional, research-oriented, and strong on my GitHub/CV. Key Requirements: - Experience with clustering and classification algorithms - Ability to preprocess and clean datasets - Proficiency in Python and ML libraries

I have a clean Excel dataset ready to import into SPSS. The task is to run an ordinal logistic regression to examine whether current Head of School gender (male, female) predicts teachers’ leadership aspiration levels (No, Maybe, Yes, I already have). Please deliver: • The complete SPSS syntax (.sps) covering data import, variable coding, assumption checks, model fitting, goodness-of-fit tests, and export commands. • The generated SPSS output file (.spv) with full tables, tests of parallel lines, parameter estimates, odds ratios, and any diagnostics you run. • A brief interpretation memo (Word or PDF, about two pages) that highlights significant predictors, explains effect sizes, and comments on model fit. I will verify the work by rerunning your synta...

I have a single Excel/CSV file (no more than 5,000 rows) containing sales figures that I need transformed into crisp, decision-ready insights. First, the dataset must be scrubbed—removing duplicates, resolving or imputing any missing values, and standardising basic formats—so the numbers tell an honest story from the start. Once the data is spotless, I want a short but thorough exploratory analysis that zeroes in on two angles: how performance varies across regions and what the figures reveal about each product category. I’m especially interested in discovering any high-performing pockets or lagging segments that a quick glance might overlook. For visual storytelling, I prefer bar charts and would like up to five of them: each one should highlight a key findi...

I am building a small learning project for my Diploma in ICT and need a clear, well-commented Python solution that reads a JSON dataset, performs descriptive statistics, and presents the results in a way a newcomer can understand. Here is what I have in mind: • The script should load a supplied JSON file, validate its structure, and extract numerical fields automatically. • Compute key descriptive measures such as count, mean, median, mode, min-max range, standard deviation, and any other basic metrics that add insight. • Display the findings in a tidy console table; a simple Matplotlib or Seaborn histogram for at least one variable would be a plus but not mandatory. • Keep everything beginner-friendly: straightforward function names, docstrings, and i...

...Household Task Videos This six-month initiative rewards ₹150–₹200 for every recorded hour of first-person household footage. Using any mix of Android and iOS phones, simply mount the device on a lightweight headband (₹200–₹300, to be purchased before the first session) and capture around two hours each day while you carry out everyday activities—cleaning, cooking and organizing form the core of the dataset. Female perspectives remain the priority for balance in the study, yet recordings from men are equally welcome. Wearing the headband during every session is mandatory so the camera angle stays consistent and truly egocentric. Daily deliverables • Two hours of stable, head-mounted video showing the full task flow everyday • Quick upload to the shar...

I have an inventory spreadsheet in Excel that’s getting hard to read...wherever it pleases. What I need is a clean, repeatable way to reorder all rows strictly by the Quantity column, lowest-to-highest (or highest-to-lowest if that proves more practical). The file is under 5,000 rows, uses standard .xlsx formatting, and has no macros at the moment. The job is straightforward: • Open the sheet in Excel (Office 365). • Apply an accurate numerical sort on the entire dataset so each product line keeps its details intact. • Double-check that no values shift out of alignment during the process. Once done, send back the updated .xlsx plus a short note on the exact steps you followed so I can repeat them on future uploads. That’s all I need to get my inven...

...project will be completed in two phases: 1. Develop a complete Simulink model of the hybrid PV–battery–buck system, generate an offline dataset of transitions, train the Q-table, and implement a MATLAB Function block for closed-loop voltage regulation using the greedy Q-table controller. 2. Enhance the controller with physics-informed reinforcement learning by incorporating buck converter equations into the reward function and state features. Demonstrate voltage regulation under varying conditions and provide brief documentation covering encoding, reward design, and usage. Deliverables: - Complete Simulink model of the hybrid PV–battery–buck system. - Offline dataset of transitions and trained Q-table. - MATLAB Function block implementing the greed...

...Socket.io. Focus areas: * Real-time ticket updates * Live alerts * Connection stability * Reconnection handling * Event management * Performance * Multiple concurrent users * Avoiding duplicate or missed events #### 9. Excel Import & Export Improve the Excel-based data workflows: * Import templates * Data validation * Preview before import * Error reporting * Export functionality * Large dataset handling * User-friendly validation messages #### 10. Dashboard & Analytics Improve the administrative dashboard with: * Operational statistics * Customer statistics * Active/renewal connections * Ticket metrics * SLA information * Payment information * Charts and visual analytics * Useful filters and date ranges The dashboard should provide actionable information rather ...

I need an experienced Excel hand to turn a set of raw sales figures into clear, professional-looking bar charts and a short accompanying report. The workbook has already been cleaned; what I’m missing is the visual storytelling that lets managers spot trends at a glance. Your task is to bu...tweaking. When the visuals are in place, produce a concise written summary (one page is fine) that highlights the main takeaways—top-selling items, best-performing regions, notable spikes or dips, and any seasonality you notice. Deliverables • Updated Excel file with dynamic bar charts and any supporting formulas or PivotTables • One-page Word or PDF summary of key insights I’ll supply the dataset the moment we start and I’m happy to answer questions about f...

I am assembling a POV video dataset and need people based in Latin America to record themselves while a smartphone is fixed to their forehead with a simple head strap. Every recording must be done indoors, yet I still want a good mix of the following task scenarios: • daily household chores (e.g., cooking, cleaning, laundry) You may shoot in your kitchen, living room, garage, office corner—any indoor spot with decent lighting. A modern smartphone is the only camera allowed; no GoPros or external lenses. Allowed phones: Rate per hour of video : 5$ Minimum hours 10h Device Type Eligibility iOS (iPhone) iPhone 13 or newer (excluding 16e and 17e) Android — Google Pixel Pixel 6 or newer Android — Samsung Galaxy Galaxy S21 or newer Not Eligible Hu...

...including where applicable: -Detection: Precision, Recall, F1, mAP -Tracking: IDF1, ID switches/MOTA -Performance: FPS, processing time -Player-wise performance analysis -Graphs, tables and visualized/annotated video results -Model/approach comparison where feasible No fabricated results. Research Paper Format Abstract → Keywords → Introduction → Literature Review & Research Gap → Methodology → Dataset & Experimental Setup → Experiments & Results → Comparative Analysis → Discussion → Limitations → Conclusion → Future Work → References The paper should include system architecture/workflow, literature comparison table, methodology diagrams, experimental tables/graphs, and relevant visual results. Technolo...

I need an end-to-end algorithm that trades a single share-market instrument entirely on technical chart analysis. The core logic must follow a technical trading approach, relying on candlestick patterns, moving averages,...Documentation explaining setup, parameter tuning, and how to switch from paper to live trading. 4. A short video walk-through (screen-recorded) showing the algorithm running in both back-test and simulated live modes. Acceptance Criteria • Trade signals must match the specified candlestick, moving average, RSI, and trend-line logic. • Historical tests replicate when rerun on the same dataset. • Live mode places, modifies, and closes orders automatically without manual intervention. Once these items are met, the project is complete and ...

...nutritional values and intake data from March 2023 and need it turned into a clear, actionable picture of how balanced (or unbalanced) our diet really is. Your task is to interrogate the numbers, benchmark them against recognised dietary reference intakes, and explain—through both visuals and narrative—where the major excesses and deficiencies lie. You’ll start by cleaning and structuring the raw dataset, then run an in-depth macro- and micronutrient breakdown. I’d like to see comparative charts, heat-maps, or dashboards that instantly show how the average intake stacks up against guidelines. Evidence-based recommendations should follow, offering practical steps to nudge the population toward a healthier balance. Please send a detailed project proposal o...

The goal is to build a small but neatly-structured video dataset that will feed a computer-vision model focused on everyday domestic activities. Each entry in the dataset must show a single household task—cleaning, cooking, or organizing—from two synchronized viewpoints: • First-person: a head-mounted (egocentric) camera capturing what the performer sees. • Third-person: a fixed, tripod-mounted camera giving a clear side or frontal view of the same action. For every recorded task, both clips should start and end together, be labelled with the task name, and be delivered in lossless or high-quality H.264 MP4 at 1080p or better. Natural indoor lighting is fine as long as the objects, hands, and completed result are clearly visible. Acceptance criteria...

...correctly, and explain each process clearly so I can understand how everything works. I need help with: Setting up Meta Business Portfolio professionally Facebook Page setup and optimization Instagram Business account setup and connection Meta Ads Account setup Billing and payment setup Business verification guidance (if required) Two-factor authentication and security settings Meta Pixel / Dataset setup Website event tracking Domain verification Creating Custom Audiences and Lookalike Audiences Setting up conversion tracking Creating and launching campaigns Understanding Campaign, Ad Set, and Ad structure Targeting and audience research Retargeting setup Budget and bidding strategy Reading and understanding Ads Manager metrics Troubleshooting common Meta Ads issues Ensuring al...

I’m building a computer-vision model that must recognise common stovetop actions from a true first-person view. To feed that model, I need raw, egocentric footage of real cooking sessions carried out on a household stove. Here’s what I’m after: • Viewpoint: camera mounted on your forehead, cap, or chest so the footage feels as if the watcher is the cook. • Content: everyday stovetop tasks—lighting the burner, adding oil, stirring, turning food, seasoning, checking doneness, plating. Feel free to include several dishes in one session or record separate clips; variety is valuable. • Environment: a normal home kitchen, not a studio. Natural clutter and background sounds are fine as long as speech is minimal and any people who appear are comfortable...

I have a raw customer dataset and I need a predictive model that can automatically segment these customers into actionable groups. The job begins with cleaning and preparing the data, moves on to feature engineering, and culminates in training and validating a segmentation model in Python—ideally using pandas, scikit-learn (or similar), and clear visual output via matplotlib or seaborn. What matters most is accuracy and interpretability. I want to understand which features drive each segment, so well-commented code, concise documentation, and an executive-level summary of insights are essential. Final deliverables should include: • A reproducible Python script or notebook • The trained model (saved or easily retrainable) • A brief report highlighting key s...

...ties the findings to actionable insights for our roadmap. Preferred sources and tools include Gartner, IDC, Statista, Crunchbase, company filings, and reputable tech news outlets; feel free to suggest additional resources or primary interviews if they add value. Deliverables 1. A slide deck (≈20 slides) highlighting insights, charts, and competitor snapshots. 2. An Excel or Google Sheets dataset with all raw figures and citations. 3. A one-page executive summary distilling the top three strategic recommendations. Acceptance criteria • All data points are cited with source and publication date. • Insights are tied back to our objective of competitor analysis (not general market sizing). • Final files are editable and shared via Google Drive or a...

...on the handwritten file) • Places those fields into a clean Excel sheet laid out for direct import into QuickBooks A simple dashboard or script-based approach in Python, Power Automate, VBA, Zapier, or a similarly reliable toolset is fine as long as it runs unattended and can be triggered by new mail. Include error logging and a way for me to review any records that fail OCR so we keep the dataset accurate. Deliverables: 1. Running automation (source code or workflow file) that pulls, pairs, and parses the PDFs 2. Sample Excel file generated from my test emails 3. Short setup guide so I can deploy it on my own machine or server Once the files load smoothly into QuickBooks without manual edits, the project is complete....

...Timeline: 3–4 weeks from kickoff. What I need A reproducible synthetic dataset for a fictitious solid-waste hauling company, covering 24 consecutive months of operations. This is for internal staff training, reporting/BI sandbox testing, and month-end close practice. No real company, customer, vendor, or employee data will be used or accepted. The scope has two linked layers: Financial layer — a populated QuickBooks company file (GL, AR, AP, payroll, fixed assets). Operational layer — the underlying service, tonnage, container, and route data that the financials are built from. The two must reconcile to each other on shared keys. This is not optional or a nice-to-have — see "Operational layer" below. A GL-only dataset will not be acce...

I have a collection of 5,000 images that must be annotated with clear, tightly-fitted bounding boxes around the single object of interest in each frame. These labels will feed directly int...Deliverables • Complete set of 5,000 bounding-box annotation files in the agreed-upon format • A brief progress log (image count completed per day) • Final compressed archive organized exactly as the original folder structure Acceptance criteria • Each bounding box fully encloses the object with minimal background (≤ 2 px tolerance) • No missed objects, duplicates or mislabeled files • Dataset passes a random 5 % manual spot check without corrections required Let me know which export format you prefer and how quickly you can turn around the full set...

I need a professional PowerPoint presentation that transforms a given topic, dataset, research material, or business information into a visually engaging and easy-to-understand presentation. The presentation should be suitable for any field, including business, finance, technology, healthcare, education, marketing, science, research, economics, real estate, HR, consulting, manufacturing, retail, or other industries. Requirements: - Create a polished, modern, professional PowerPoint deck. - Organize the information into a logical storytelling structure. - Use attractive infographics, diagrams, icons, timelines, processes, comparison visuals, and other visual elements wherever appropriate. - Include relevant graphs and charts such as bar charts, line charts, pie/donut charts, stacke...

The work I'm looking for a Machine Learning expert to help conceive and write a technical paper for publication in IEEE. This is a from-scratch effort. I do not currently have a dataset, preliminary results, or a fixed research idea. you would start at the beginning — identifying a novel problem and a genuine algorithmic contribution (a new algorithm, not an incremental tweak or a straight application of an existing method). I'm interested in Observability as a domain, if possible or even distributed systems. but that is entirely optional and not a requirement. What you'd help with - Identify a novel, well-scoped problem and a defensible algorithmic contribution. - Shape the method, experimental design, and evaluation strategy. - write the paper through, Sugge...

...essential. Because the files are already in digital form, the job is strictly text data entry; there are no handwritten scans or numerical tables to worry about. Speed matters, but zero-error accuracy matters even more, so I will be double-checking the finished dataset before sign-off. To help me gauge fit, please send examples of past work where you handled similar pure-text entry projects. A quick note on the volume and turnaround you managed in those examples will be particularly helpful. Deliverable: • A complete, error-free text dataset returned in the agreed format by the deadline we set together. If you have a proven eye for accuracy and can demonstrate it with previous results, I’m ready to get started right away....

This six-month initiative rewards ₹150–₹200 for every recorded hour of first-person household footage. Using any mix of Android and iOS phones, simply mount the device on a lightweight headband (₹200–₹300, to be purchased before the first session) and capture around two hours each day while you carry out everyday activities—cleaning, cooking and organizing form the core of the dataset. Female perspectives remain the priority for balance in the study, yet recordings from men are equally welcome. Wearing the headband during every session is mandatory so the camera angle stays consistent and truly egocentric. Daily deliverables • Two hours of stable, head-mounted video showing the full task flow everyday • Quick upload to the shared cloud folder on ...

...easy-to-use dashboard that I can use regularly to monitor and analyze sales performance. I am looking for someone who can think about the analytics and recommend improvements, rather than simply build a dashboard, and a long term data analysist specialist that I can refer to. If you see additional KPIs, visualizations, or analytical views that would provide meaningful business insight from this dataset, please recommend them. Thanks!...

...easy-to-use dashboard that I can use regularly to monitor and analyze sales performance. I am looking for someone who can think about the analytics and recommend improvements, rather than simply build a dashboard, and a long term data analysist specialist that I can refer to. If you see additional KPIs, visualizations, or analytical views that would provide meaningful business insight from this dataset, please recommend them. Thanks!...

I ...type model 2. A brief PDF note (4-5 pages) explaining element choices, damage or plasticity models adopted, mesh-independence check and the resulting load–displacement curve ( directly taken from the Abaqus) 3. One compressed folder with all necessary files so I can reproduce the run without editing paths Acceptance criteria • Peak axial load matches at least one peer-reviewed experimental dataset (you may choose the reference and cite it) within ±10 % • No severe warnings or errors in the .msg or .sta files at completion • The model opens and runs in Abaqus/Standard 2022 without license errors I will award quickly and remain available for prompt clarifications so we can finalize the study ASAP. You can contact me through mail : mnahakeem...

I am compiling a diverse selfie dataset that represents everyday Indians across ages, lighting conditions and backgrounds. If you are based anywhere in India, I would like you to contribute a small personal archive of photos, taken only with your smartphone camera. Here is how the task breaks down: Deliverables • 22 existing selfies you took up to 10 years ago • 8 fresh selfies you will shoot now (a mix of indoor and outdoor shots; indoor can simply be at home) • Total expected: 30 images. I will release payment once at least 24 qualifying selfies have been received. * Required 4 Lakh+ set Key requirements • Every photo must genuinely be yours—no AI-generated, stock, or social-media downloads. • Each file should clearly show your face, with no...

...markdown report that lists what changed, any edge cases you spotted, and the commands needed to reproduce the run. Clean commits, readable notebooks or scripts, and strict version control are non-negotiable; they keep the downstream modeling and monitoring steps painless. If this mix of autonomous, image-centric ML work suits you, let me know your typical turnaround time for a ten-thousand-image dataset and highlight a past project where your preprocessing directly improved model performance....

...About Us, Warranty, Returns & Refunds, Shipping & Delivery, Bulk/Business Orders Product page standardization: clean titles, materials/dimensions table, warranty line, alt text Full structure and copy already drafted — will share on award 2. Meta Ads & Tracking Setup Connect Shopify via the official Facebook & Instagram Sales Channel only Connect correct Page, Instagram, Business Manager, Pixel/Dataset, and product catalogue Enable max customer data sharing + Conversions API (CAPI) Remove any old manually-added Pixel code (avoid duplicate events) Verify PageView, ViewContent, AddToCart, InitiateCheckout, Purchase in Events Manager Test full purchase flow with screenshot proof Confirm catalogue sync for retargeting/catalogue ads Set up and test click-to-Wha...

I need an experienced web scraping developer to extract the complete public Hacker Database from SoldierX.com. Pages to scrape: https://www.soldierx.c...Links, Picture Count. Output: Excel/CSV, fully editable. The site may have Cloudflare/ASN restrictions, so please test access before bidding. Public data only; no login/private data required. Important: I will share a sample file showing the exact required format and fields. Please follow that sample exactly. Please bid only if you can test the website and confirm you can extract the full dataset.

...details are necessary. The quickest path appears to be scraping Australia-focused driving school directories first, though you are free to pull from any additional public sources that help you hit full nationwide coverage. Please deduplicate, remove bounces when possible, and flag anything that looks generic (e.g. “info@”) so I can decide later whether to keep or drop them. Deliver the final dataset as a single Excel (.xlsx) file with one email per row. A brief note outlining your collection method and any validation steps will help me understand data quality. Acceptance criteria: • Minimum 5,700 unique, working email addresses • No obvious duplicates or malformed addresses • File delivered in Excel format and ready to use If you foresee c...

...verification, attendance, and image-upload workflow. * Remove or isolate Azure-specific code. * Integrate the Android application with our new Python REST API. * Send captured face images to the new API using secure HTTP POST requests. * Pass the correct project ID with each recognition or enrollment request. * Handle multiple independent projects, where each project has its own separate facial dataset. * Support approximately 500 enrolled faces per project initially. * Start with at least two separate project datasets. * Correctly process API responses including: * matched / not matched * person or employee ID * similarity/confidence score * no face detected * multiple faces detected * low-quality image * invalid project * API/server errors * Maintain the existi...

...error handling, and a simple log of successful/failed runs. – Any third-party libraries or headless browser drivers used should be documented in a quick setup guide so I can redeploy on another machine. The project is finished when the script is running on my server, both daily and weekly reports arrive on schedule, and the prompt reliably produces an accurate narrative summary from the latest dataset....

...forces reflected in those numbers. Your task is to dive into this raw sales data, clean and structure it, then surface trends that answer key market research questions: What products or categories are gaining momentum, which customer segments are buying when and why, and how do seasonal or promotional events shift demand? I would like the final work delivered as: • A cleaned, well-documented dataset (CSV or database table) that I can reuse. • A concise written report highlighting the main findings, supported by visuals. • Interactive dashboards (Tableau, Power BI, or similar) so I can explore the trends myself. • Action-oriented recommendations grounded in the data. Feel free to use Python, R, SQL, or any other analytics stack you prefer, as long as yo...

...Tasks vary from strict front-camera positioning (no hand visibility, no circular nose movements) to specific back-camera motion prompts (moving your head as if touching 7-8 imaginary dots on the screen with your nose). 5. Background: Indoor tasks must be shot against a clean setup resembling an office or home-office background. COMPENSATION: • We pay a flat rate of ₹450 INR per approved video dataset. • This is a bulk vacancy project. If you have family members or friends who fit the demographics (especially males 36-50), you can submit multiple entries for additional payouts. • Client review takes 3–5 working days before milestones are released. TO APPLY: Please bid and confirm: 1. Your age and gender. 2. Your mobile phone model. 3. If you can record at 3...

...low light with the lights turned off). Requirements:Must follow strict framing guidelines (look directly at camera, hands hidden).Must provide a masked ID card (Aadhaar, PAN, or Driving License) with the private ID numbers blurred out. We only need to see Photo, Name, DOB, and Country for AI training video and guidelines will be provided. Payout is ₹450 ($5) per approved video dataset. Multiple vacancies available!...

I have a clean, ready-to-use Iris dataset and need a complete Support Vector Machine classification pipeline built around it. The job is straightforward: tune an SVM (scikit-learn or similar) to separate the three Iris species, document the process, and hand over reproducible code and results. Here’s what I expect: • A concise notebook or script that loads the data, performs any minimal preprocessing you find beneficial, runs hyper-parameter optimisation, trains the final model, and outputs accuracy, precision, recall and the confusion matrix. • A short write-up (markdown inside the notebook is fine) explaining why the chosen kernel and parameters work best, plus any insights you notice in the feature space. • Saved model file so I can deploy or reload it...

...region applicability. Filter & subscribe: filter by region (e.g., UK regions), business size, and sector (construction, home services). Users can subscribe to email alerts for new grants. Apply checklist: per‑grant checklist (documents required, typical timeline, contact points). News updates: short articles about funding changes, success stories, and upcoming local enterprise events. Admin curation UI: admin can add, edit, and flag grants; schedule push notifications for urgent deadlines. Grant alerts: push or email alerts for grants closing within 14 days. UX notes Place the News & Grants section on the main navigation and surface urgent grants on the dashboard. Use cards with clear CTAs (“Read more”, “Check eligibility”, “Save for l...

...and I need a fresh, expert set of eyes to turn my current draft into a journal-ready manuscript. Your task is to shape the argument so it flows logically, tighten the language, integrate recent literature where gaps appear, and ensure every citation, table, and figure meets academic standards. You’ll be working with a complete first draft (about 7,000 words), my compiled bibliography, and the dataset already analysed. I’m looking for clear, concise prose that still captures the technical depth expected in graduate-level macroeconomics—think Phillips curve debates, expectations-augmented models, and recent post-pandemic labour-market studies. Deliverables • Edited manuscript in Word with Track Changes • Clean final version ready for submission &...

...I am looking for an experienced 3D modeler/architectural modeler to create a detailed 3D model of a historic architectural site based on a high-resolution LiDAR/SLAM point cloud. The point cloud will be provided by me. The main task is to accurately reconstruct the existing buildings and architectural elements from the point cloud. Scope of Work Import and work with a large LiDAR/point cloud dataset Create an accurate 3D model based on the existing geometry Model building facades, roofs, walls, openings and architectural details Maintain accurate dimensions and proportions according to the point cloud Clean and optimize the model geometry Ensure the model follows the actual scanned geometry Deliver the final 3D model in a format suitable for further CAD/BIM work and visualizati...

...Python-based workflow that takes my equirectangular photo collection and, for any two images I select, confirms whether they were shot from the same angle. Beyond the yes/no decision, the script must also: - check whether they are connected • calculate the scale ratio between the pair, - the angle yaw and pitch they connected • assign a reliability/confidence score to its assessment. sample dataset : i run the progam using cli, json output is fine All results should be written to a concise text report that I can easily parse or forward—feel free to suggest the most convenient plain-text structure. You’re free to use OpenCV, scikit-image, NumPy, or any other well-supported libraries so long as installation

...in Python or R). Together we will review and refine: • the critical sources in each language and define ingestion methods • Build or adapt an AI layer that flags emerging narratives and policy signals for human review • an oversight framework that lets analysts verify, contextualise and, where necessary, override the algorithm’s output • a concise concept paper and proof-of-concept dataset ready for inclusion in an upcoming grant application The formal grant window opens in a few months, so the immediate deliverables are limited to a clear division of labour for the next phase and providing feedback to research design, and lightweight prototype. If you enjoy bridging cutting-edge NLP with practical geopolitical insight—and, ideally...

...from the same agency unless specifically requested. ### Critical Requirement — Master List Deduplication I will provide a **master list containing existing email addresses**. Every email address discovered during the research must be checked against this master list. **If the email address already exists in the master list, DO NOT include that agency/contact in the final output.** The final dataset must therefore contain **only new email addresses that are not already present in the master list**. The comparison should be performed programmatically where possible and should be case-insensitive. ### Source Requirements The information should be obtained from the **agency's official website**, preferably from publicly available pages such as: * About Us * Our Te...