I am looking for a automation to be built that will trigger when new PDFs are uploaded into a google drive. The automation would scan each new PDF, extract certain information, and place that information on a google sheet. The PDFs are scanned images of documents off a computer screen (public notices) and the format has some variability to it, the PDFs are not always in the same format. I would like it to be scalable so I can easily add new document types later.

I need a Discord bot built that posts positive expected value (+EV) sports betting picks to a channel, plus esports match schedules/scores. I have the full technical spec already written — APIs picked, EV formula defined, architecture outlined. This is integration work, not research. What's provided: Working API keys for The Odds API (sports odds) and PandaScore (esports stats) — I'll provide on hire Complete EV calculation formula (Python, ready to use) Full architecture spec (polling schedule, caching approach, bookmaker lists) Core deliverables (must-have, fixed price): Discord bot that connects to my server Scheduled polling (1-2x daily, not live) of The Odds API for sports moneylines + player props EV calculation comparing soft-book odds (DraftKings/FanDuel/Caesars) against Pinnacle as the sharp reference Caching layer (database) so the bot never calls the API live per Discord command Bot posts flagged +EV picks to a designated channel, above a configurable EV threshold PandaScore integration for esports match schedules/results posted to a separate channel Basic error handling with retry/backoff (no runaway API costs) Documentation: how to run it, how to add new sports/leagues, how to change the EV threshold Stretch goal (only if time allows within budget — not required): OddsPapi integration for esports moneyline EV detection (this API is unverified/free-tier, so treat as experimental) Tech preferences: Python or Node.js, whichever you're stronger in. Open to your hosting recommendation (needs to run 24/7 cheaply). Budget & Payment Structure: $500 fixed price, split into milestones Milestone 1 ($150) — Foundation: Discord bot connects to server, The Odds API integration pulling live sports odds data, caching layer working. Paid on demo of working data pull + bot online in server. Milestone 2 ($200) — Core Logic: EV calculation implemented and verified accurate against manual spot-checks, picks posting to Discord channel automatically on schedule. Paid on demo of at least 3 correctly-calculated +EV picks posted live. Milestone 3 ($150) — Esports + Polish: PandaScore esports schedule/results integration, error handling/retry logic, documentation delivered. Paid on final delivery + handoff call. To apply: Tell me your estimated hours for each milestone, and confirm you've worked with Discord bots + REST API integrations before.

We are seeking a skilled freelancer to build a social listening tool that can scrape data from various online sources. The tool should be able to handle large volumes of data and provide insights into social media trends and user interactions. The ideal candidate will have experience in data scraping and social media analysis, and be able to develop a tool that is efficient and reliable. Prior to contract, I'd like to have a 15 minute discussion that gets into specific needs and uses for this tool

Title: Backend Developer — AI Data Pipeline, Vector DB & Real-Time Push API Post: We are building an automated backend system that continuously crawls public web sources, processes and indexes content using AI, and delivers updates via webhooks. Looking for someone who has built this type of system before and can move fast. NDA required before project details are shared. What you’ll build: • Web crawler network —. • AI processing pipeline — cleans, deduplicates, chunks, and embeds ingested content into a vector database using an LLM embedding model. Quality scoring and incremental updates required. • Push API — monitors for significant content changes and delivers updates via webhook endpoints automatically. Includes configurable push schedules per subscriber, REST query endpoint, API key authentication, and token usage tracking per key. Tech stack (flexible — use what you know best): • Python (FastAPI) or Node.js • Any vector DB — Pinecone, ChromaDB, Supabase • Any LLM API — Anthropic or OpenAI • Any scheduler — n8n, APScheduler, cron • Redis for queue management • Railway, Render, or AWS for deployment Requirements: • NDA signed before kickoff — non-negotiable • Must have built RAG pipelines or vector DB systems in production — not tutorials • Must have experience with web crawlers and scheduled job pipelines • Must have experience with webhook delivery systems • GitHub or portfolio showing relevant deployed work required • 95%+ Job Success Score preferred • Individual contractors only — no agencies To apply include: • Example of a similar system you’ve built — web crawler, RAG pipeline, or push notification API • Your preferred stack for this type of build • Brief technical approach in 3–5 sentences • Hourly rate and availability to start Budget: $50–$80/hr Timeline: 3 weeks — focused sprint with daily check-ins

We sell banknotes, coins, and postcards. We image thousands daily as we sell thousands daily. We currently write our own 40-60 word descriptions of these items using a CSV spreadsheet. We would like AI to write the descriptions! Looking for a widget/software/app/whatever that is PC based-has the ability for us to drag a folder of 1000 images into it and it spits out a spreadsheet of 2 columns. SKU (get into that later) and 40-60 word description. Example: 1952 France 5 Francs banknote or 1964 Kennedy Half Dollar by AI viewing the images of these items. A picture postcard of "visit Virginia" when viewed by AI will be Girl in white hat says visit Virginia" I'm told by a few folks it needs to have scripts to run it....that's not by forte. Yours is hopefully!

We are seeking a skilled freelancer to download an Excel file from Bloomberg, applying 7 specific filters to the Russell 2000. The ideal candidate should have experience working with Bloomberg Terminal and be proficient in Bloomberg & Excel data manipulation. If you are detail-oriented and can work efficiently under time constraints, we would love to hear from you. Must have file ASAP. Ongoing role possible for successful candidate

Senior Python Dev to Productionize a PPTX Medical Report Automation Prototype Overview We are a medical imaging report provider (Brain & Spine Injury Imaging Experts). We have a working Python prototype that auto-populates branded PowerPoint (.pptx) medical report templates and exports them to PDF. We need a senior developer to productionize it into a reliable, deterministic, well-documented tool. This is an automation/scripting engagement, not a slide-design job. What you'll build Harden and refactor our existing Python + python-pptx prototype into production-quality code. Fill locked-layout PowerPoint templates from structured input data (JSON) — text fields, findings lists, figure captions, measurements, and image placement. Generate required charts programmatically (e.g., NeuroQuant regional-percentile bar chart) rather than pasting static images. Export pixel-consistent PDFs (Aspose.Slides acceptable) that render identically on every run. Build a validation script that checks each generated report against required rules (footer text, page count, required fields, figure/label integrity) and flags deviations. Adapt the same engine to a second report type (Thoracic Spine) after the primary TBI report is accepted. Determinism requirement The tool must produce byte-for-byte consistent output across runs on the same input — same fonts, same layout, same positioning. Please describe in your proposal how you guarantee deterministic rendering and handle font embedding/substitution. Known Sample Drift — Footer Must Be Corrected The attached sample reports contain intentional footer inconsistencies that must NOT be reproduced. The signature-block footer currently varies across pages (some pages show only "Board Certified Radiologist," others add "Fellowship Trained in Musculoskeletal Imaging"). This drift is a known defect in the samples. The AUTHORITATIVE footer is the version we will supply in the spec sheet, and it must be applied identically on every page of every report. Your validation script must detect and reject any page whose footer does not exactly match the approved footer text. Do not treat the samples as the source of truth for footer content — treat the supplied spec as authoritative. Compliance / data handling This project involves medical reports. All development and testing will use de-identified sample data and dummy files only; you will not receive real patient PHI. A mutual NDA is required before we share the prototype code, templates, or licenses. Final report delivery to our HIPAA-compliant ShareFile account is handled with sandbox/test credentials during development; production keys are connected by us. Optional Phase 6 — Automated ShareFile Delivery Add a step that uploads the final PDF to a specified folder in our HIPAA-compliant ShareFile (Citrix) account via the ShareFile REST API, using a configurable case-to-folder mapping. Build/test with a non-PHI test folder and scoped test credentials; production credentials supplied and connected by client. Include setup instructions. Milestones (fixed price, ~$5,000 total, negotiable) Paid proof-of-concept: regenerate one approved sample report from our prototype on your environment, matching our reference output (small milestone — go/no-go gate). Production refactor of the fill engine and template handling. Deterministic PDF export + font handling. NeuroQuant chart generation + figure/label integrity. Validation script (footer, page count, required fields, drift detection). Spine report adaptation. (Optional Phase 6: ShareFile delivery.) A completion bonus applies for full delivery within 10 days of the awarded start. Required skills Python, python-pptx, Aspose, Microsoft PowerPoint, automation, data visualization, JSON data handling. API integration (ShareFile REST) a plus. To apply, please answer: Have you built PowerPoint/PPTX automation with python-pptx and/or Aspose? Share an example. How do you guarantee deterministic, pixel-consistent PDF output (fonts, layout)? Have you integrated the ShareFile (Citrix) API or similar OAuth-based file-storage APIs? Estimated timeline to complete Milestones 1–5. Attachments: De-identified sample reports (TBI and Spine) are attached for reference. Prototype code, real case data, and Aspose licenses will be provided after the NDA is signed.

We are seeking an experienced AI Data Mining and Lead Generation Team to help us build and scale two distinct sales verticals through advanced AI prospecting, automation, data enrichment, and lead qualification. This is not a simple list-building project. We are looking for professionals who understand how to leverage modern AI tools, automation platforms, CRM systems, and data intelligence to identify qualified prospects, verify contact information, and create systems that consistently generate meetings and sales opportunities. Our goal is simple: Vertical #1: Custom Apparel Sales Through The Tee Shirt Store, we provide custom apparel solutions for: Schools Sports teams Churches Nonprofits Small businesses Corporate organizations Fundraising campaigns Events and conferences We need qualified buyers actively looking for custom apparel, screen printing, embroidery, promotional products, and branded merchandise. Vertical #2: Youth Entrepreneurship Education Through Education With A Profit, we deliver entrepreneurship education programs designed to help youth develop business, leadership, financial literacy, and entrepreneurial skills. We need introductions and meetings with: Youth organizations Community organizations Workforce development programs Nonprofits serving youth Corporate community outreach departments Foundations and grant-funded programs What We Need You To Build The ideal candidate or team will: AI Lead Generation Systems Develop AI-powered lead sourcing processes Build automated prospect identification workflows Create lead scoring systems Implement contact verification procedures Use data enrichment tools to improve lead quality Reduce manual prospecting through automation Qualified Lead Acquisition For Custom Apparel: Identify decision-makers responsible for apparel purchasing Verify contact information Capture buying signals Prioritize high-intent prospects For Entrepreneurship Education: Identify educational leaders and program decision-makers Locate grant-funded and budget-approved opportunities Identify organizations actively seeking youth programs Build targeted outreach databases Automation & CRM Integration CRM setup and optimization Automated lead routing Follow-up automation Meeting scheduling integration Reporting dashboards Pipeline tracking AI Outreach Optimization Email personalization systems Prospect segmentation Multi-channel outreach workflows Lead nurturing sequences Appointment-setting automation