1. Project Overview This project builds a computer vision system that tracks whether a handheld object is inside or outside a user defined region on a person's head in real time. The system observes the user through a webcam, allows the user to define a region on their head once at the start, tracks that region as the user moves, and outputs a binary signal whenever a tracked object is inside or outside the region. The signal is transmitted to an Arduino over USB serial and can be used to control any device, such as turning a flashlight on when the object is in the correct region and off when it leaves. The previous developer completed Milestone 1, which covers webcam capture, frame rate monitoring, multi camera support, and a basic overlay system. The remaining work is organized into five milestones over an estimated nine weeks. 2. System Architecture The system runs as a single Python application on the user's computer. It captures frames from the webcam, runs all computer vision processing, and sends commands to the Arduino over USB serial. The Arduino runs a minimal firmware that reads those commands and switches an output pin accordingly. That output pin can drive any device the client chooses. The processing pipeline has six stages that run on every captured frame. First, the frame is read from the camera and corrected for lens distortion using stored calibration parameters. Second, MediaPipe Face Mesh detects 468 facial landmarks on the user's head. Third, the previously stored region anchor points are reprojected into the current frame using the new landmark positions, which is how the region follows the head as it moves. Fourth, a color based tracker locates the handheld object in the frame. Fifth, the system computes whether the object is inside or outside the region using a point in polygon test. Sixth, the resulting on or off signal is sent over serial. A separate safety supervisor runs alongside the main pipeline. It forces the output signal to off if the face cannot be detected, if the object cannot be tracked, or if the serial connection is lost. This guarantees the output is only on when the system is confident about the object's position This WHAT Im looking to be Completed a simple part of the project: Milestone 1: Camera Setup & Calibration Goal: Set up the camera and calibrate the system for accurate real world distance measurements. Steps: Set up and test the camera for real time video capture. Correct camera distortion using OpenCV and a checkerboard pattern. Calibrate the system using a reference object of known size and adjust dynamically based on the user's inter pupillary distance. Success Criteria: Achieve real world measurements with an accuracy within 5%. Correct camera distortion and dynamically adjust scale during use. I do have existing code that does cover this part:with basic webcam capture, FPS display, multi camera preview and overlay logic It is however missing this:calibration, head anchored region tracking, smoothing, object detection, Kalman filtering, Arduino communication and safety logic are missing.

I'm looking for an experienced automation specialist to build a follow-up system for my sales pipeline. The goal is a reliable, automated workflow that ensures no lead falls through the cracks — from first contact through close. What I need: A multi-step follow-up sequence triggered when a new lead enters my CRM (HubSpot or Salesforce) Automated emails sent via Gmail or Outlook at defined intervals (e.g., Day 1, Day 3, Day 7, etc.) Logic to pause or stop the sequence when a lead replies or takes a defined action Integration built using Zapier or Make (n8n open to discussion) Clear documentation so I can manage and update it myself going forward Ideal candidate: Proven experience building CRM + email automation workflows Comfortable working with Zapier and/or Make Familiar with HubSpot or Salesforce (please specify which in your proposal) Able to recommend best practices for follow-up timing and structure if needed To apply, please share 1–2 examples of similar workflows you've built and your preferred platform (Zapier, Make, etc.). Budget and timeline are flexible for the right person — I'd rather do this right than fast.

We're building an internal PPC keyword research and automation system to support paid acquisition across two brands (legal finance / legal tech). This is a one-time setup project — fixed scope, defined deliverables. The goal is a repeatable keyword research workflow, the automation pipeline behind it, and an AI-assisted review layer for QA and recommendations on what we pull. This is NOT ongoing campaign management or attribution work — strictly system build-out and handoff. WHAT WE NEED BUILT Keyword research workflow combining SEMrush, SpyFu, SimilarWeb, and Google Keyword Planner into a single repeatable process Automation pipeline that pulls keyword and competitor data on a recurring basis, normalizes it, and stages it for review AI-assisted review layer that evaluates new keyword sets — flags relevance, suggests groupings, surfaces gaps and overlaps with current campaigns Output formats: cleaned, structured keyword lists ready for Google Ads import, plus a decision log we can audit Documentation so the system is hand-offable to our internal team REQUIRED SKILLS Strong PPC and keyword research experience (Google Ads, SEMrush, SpyFu, or comparable) Automation and scripting (Python, Node.js, or similar) for pulling and normalizing keyword data Comfortable wiring up LLM APIs (OpenAI, Anthropic, or similar) for AI review steps Familiarity with Google Ads structure (campaigns, ad groups, match types, negatives) Clean documentation habits — system should be operable without you NICE TO HAVE Legal, fintech, or B2B/B2C hybrid vertical experience Direct Google Ads API integration experience Past work on internal marketing tools or admin dashboards SCOPE & LOGISTICS One-time project, fixed scope Deliverable: working system + documentation, not ongoing optimization Hourly engagement, completable in a few weeks Async-friendly — communication via Upwork messaging with occasional video sync

Guardian Senior Solutions GoHighLevel + Retell AI Build — Job Posting & Scope of Work Posted by: Paul · Guardian Senior Solutions (GSS) Orange County, California — remote contractor accepted Project overview Guardian Senior Solutions (GSS) is a direct-to-consumer senior care navigation platform in Orange County, California. We are a conflict-free alternative to referral platforms like A Place for Mom — we coordinate care, legal, financial, and home equity needs for senior families rather than operating as a care provider ourselves. We need a GoHighLevel (GHL) build that automates our lead-to-appointment pipeline end to end: from the moment a lead comes in (web form, paid ad, social DM, referral) through AI-driven outreach (voice via Retell AI, SMS, email) to a booked assessment appointment with one of our case managers, by phone or in person. This is a real-time-sensitive use case — families reaching out are often in or near a care crisis, so speed and reliability of follow-up directly affects whether we can help them. What success looks like • A lead that fills out a form, comments on a social post, or calls in gets a response within 5 minutes, every time, with no silent failures. • Qualified leads are automatically routed into a clear pipeline and booked onto a case manager's calendar without manual intervention. • We can see, in one dashboard, exactly where every lead is and whether any have gone stale. • The system is documented well enough that we are not permanently dependent on the person who built it. Scope of work 1. Core GHL architecture • Build a 6-stage lead pipeline: New Lead → Contacted → Nurturing → Appointment Booked → Consultation Complete → Not Ready / Lost. • Configure custom fields: care urgency (1–5), who care is for (self / parent / spouse), homeowner Y/N, estimated home value, legal documents in place Y/N, lead source. • Set up lead source tagging across all channels: Google Ads, Meta Ads, organic/social, referral partner (by name), direct, and any purchased lead lists. • Build a reporting dashboard tracking: leads by source, speed-to-contact, appointment conversion rate, show rate, and pipeline value by stage. 2. Retell AI voice integration • Integrate Retell AI with GHL so that a new lead triggers an outbound AI voice call within 5 minutes of form submission. • Build fallback logic: if the call is not answered, automatically fall back to SMS rather than silently dropping the lead. • Configure the call outcome (answered / voicemail / booked / declined) to write back into the GHL contact record and move the pipeline stage accordingly. • Work with us to finalize the AI voice script and qualifying questions (we have a draft framework already). 3. Lead nurture automation • Build the speed-to-lead workflow: AI call + SMS on form submit, second call attempt at 1 hour, email at 2 hours, manual task created for a human follow-up at 24 hours if still unresponsive. • Build a 21-day nurture drip for leads not yet ready to book, mixing educational email content with SMS check-ins (content outline will be provided). • Build appointment confirmation and reminder sequences (instant confirmation, 24-hour reminder, 1-hour reminder) via email and SMS. • Build a post-consultation follow-up sequence including a same-day summary, a 3-day check-in, and a 7-day review request (conditional on a positive-outcome tag). 4. Social + email content engine • Set up GHL's Social Planner across Facebook, Instagram, LinkedIn, and TikTok with an approval workflow so content is AI-drafted but human-approved before publishing. • Set up a weekly email campaign workflow: AI-assisted draft, human approval step, then send. • Connect inbound engagement (Facebook/Instagram DMs and comments, web chat, SMS, email replies) to GHL Conversations and route qualified leads into the Conversation AI for qualification. • Flag clearly in writing if TikTok DM-to-CRM integration is not currently supported natively by GHL, and propose a workaround if one exists. 5. Appointment booking & case manager routing • Integrate calendar booking (Calendly or GHL's native calendar) so qualified leads can be booked directly onto the correct case manager's calendar, distinguishing between phone and in-person assessment appointment types. • Build routing logic if we have more than one case manager (e.g., by territory, availability, or caseload). 6. Reliability, testing, and handoff • Idempotency checks so a lead submitting twice, or a webhook firing twice, does not trigger duplicate calls or duplicate pipeline entries. • A staging/test mode so new or modified workflows are tested with dummy leads before going live. • Monitoring or alerting so we are notified if a workflow breaks or a lead has gone untouched for more than 2 hours. • Full written documentation of every workflow, automation, and integration built, in plain language we can hand to a future hire if needed. • A 30-minute live walkthrough/training call upon completion. Requirements • Demonstrated prior experience integrating Retell AI (or a comparable AI voice platform) with GoHighLevel. Please describe your specific integration approach in your application — this is the single most important qualifier for this role. • Strong working knowledge of GHL workflows, pipelines, Conversations, Social Planner, and custom fields. • Experience with webhook-based integrations and basic error handling / fallback logic. • Prior experience in healthcare, home services, senior care, or another high-urgency, high-trust service business is a strong plus. • Clear, responsive communication — we will be working closely together through build and testing. How to apply 1. Confirm you have integrated Retell AI (or similar) with GoHighLevel before, and briefly describe how you approached it. 2. Share 1–2 examples of GHL builds you've done for service businesses, ideally with multi-channel lead nurture. 3. Provide your estimated timeline and a flat-fee quote for the full scope above (we prefer fixed pricing over hourly for this project). 4. Let us know your availability to start. We have a detailed internal spec (pipeline stages, message templates, and workflow logic) ready to share with serious candidates upon request.

We are seeking a technology professional—ideally a business owner, consultant, founder, technical leader, or team manager—to mentor a group of high school students as they work on a real project for your business. Students will spend four weeks tackling a business challenge, initiative, or project that you'd like completed but haven't had the bandwidth to prioritize. The goal is to provide your organization with fresh perspectives, research, analysis, and actionable recommendations while giving students exposure to real-world technology and innovation challenges. This is a low-lift opportunity designed for busy professionals. The Work-Based Learning Alliance (WBLA) manages the entire student experience, including project scoping, internship structure, meeting agendas, milestones, student support, and stipend payment. Your role is simply to share your expertise, meet with students for one hour each Monday via Zoom (between either 9:30am–12:30pm ET or 3:30pm–6:30pm ET), and provide feedback on weekly deliverables. Total time commitment is approximately 2–3 hours per week over four weeks commencing June 29. Professionals who are excited to develop future talent while receiving meaningful insights and deliverables for their business are encouraged to apply. Projects could include: -AI tool evaluation and implementation research -Market research and competitive analysis for software, technology, or digital products -Product feature analysis and solution design -Process improvement and workflow automation opportunities -Technology trend research and emerging technology assessments -Marketing, technical documentation, or product positioning assets Key skills include: -Knowledge of technology, software, IT, AI, cybersecurity, data, or digital products -Ability to mentor and provide constructive feedback -Strong communication and interpersonal skills -Experience leading technical projects, teams, products, or business initiatives

Bellementis PLLC is seeking a contract legal automation specialist to help design and implement practical automation workflows for a fast-growing boutique law firm. The ideal candidate has experience with law firm operations, document automation, AI tools, workflow design, and systems such as Microsoft 365, Clio, NetDocuments, Gavel, Zapier, Notion, or similar platforms. Responsibilities may include: Automating client intake, engagement letters, matter opening, task tracking, billing workflows, and document generation Building reusable templates, checklists, and workflows Helping integrate AI tools into legal and administrative processes Improving knowledge management and internal firm operations Working with lawyers, operations, and technical team members to turn manual processes into scalable systems This is a contract role. Prior experience with legal tech, law firm operations, document automation, or AI-enabled workflow design is strongly preferred.

I’m looking for someone to record a short video (30-45 seconds) where you’ll be describing the benefits and highlights of a business program. You’ll receive a script with clear talking points — your job is simply to present it confidently and naturally on camera. This is a paid presentation, not a personal review or experience. You’re helping us communicate the value of the program like a host or spokesperson would. What you’ll do: • Read and present a short script (30-45 sec) • Record using your smartphone (no fancy gear or editing needed) • Send raw footage with good lighting and sound Requirements: • Clear, natural delivery • Comfortable speaking on camera • Ability to follow simple instructions • Must be based in the U.S. Just be confident, fluent, and look presentable — we want the message to feel trustworthy and smooth. Thanks!

This is a Flutterflow app called CARS which stands for Cybersecurity Awareness & Resilience Solution. I am a Phd student at NSU and I will be engaging in developmental research for microbusiness owners testing cyber awareness and resilience for their microbusinesses. This is intentionally a minimal research app. There is no backend all logic is handled in FlutterFlow + Firestore. The app enforces sequential viewing of videos and tracks completion and rewatch behavior only. The focus is on simplicity, reliability, and clean UX. Avoid over-engineering. There are 102 videos that have already been loaded via csv via Rowy into Firebase/Firestore. You already have: videoId title module order videoUrl and the videos are set-up to play sequentially one after another. If you get the job, I will provide the csv with placeholders for videourl for privacy. Please review the attached Developer Brief to get an idea of the specifics of this job. Thank you.

I'm currently using Claude, Google Workspace, App Script and Lambda on AWS to pull data out of an operation software called Fullbay to automate a bunch of different aspects of our business. I'm a former software engineer, but now own a medium sized business in Denver and I want someone to help me continue these efforts. For the most part, these efforts consist of many, but small projects that pull data out of the ops software, push it into a Sql server db, and then compare data across google chat, google email, workspace calendar, hubspot, and fullbay to find specific issues with our staff and workflows and notify and track and report. A lot of cool, quick projects that I need help with. I would strongly prefer someone that lives near commerce city colorado so that they can get to know the business.

I’m looking for someone to record a short video (30-45 seconds) where you’ll be describing the benefits and highlights of a business program. You’ll receive a script with clear talking points — your job is simply to present it confidently and naturally on camera. This is a paid presentation, not a personal review or experience. You’re helping us communicate the value of the program like a host or spokesperson would. What you’ll do: • Read and present a short script (30-45 sec) • Record using your smartphone (no fancy gear or editing needed) • Send raw footage with good lighting and sound Requirements: • Clear, natural delivery • Comfortable speaking on camera • Ability to follow simple instructions • Must be based in the U.S. Just be confident, fluent, and look presentable — we want the message to feel trustworthy and smooth. Thanks!