Freelancers using PyQt in MontrealFreelancers using PyQt in Montreal
Projects
People

Results that are similar to your search

Similar results

Cover image for AI Craigslist Scraper & Outreach
AI Craigslist Scraper & Outreach Automation I developed a custom Craigslist automation software (.exe) for a real client to automate lead generation, email outreach, and CRM integration into a fully streamlined workflow. This solution was built to save time, increase outreach efficiency, and manage leads automatically without manual effort. 🔹 Project Workflow: • User inputs a Craigslist search listing URL • The software automatically scrapes all listing links • Each listing is opened one by one to extract email addresses • Listing details such as Title, Description, and Address are collected • Data is processed using the OpenAI API to generate personalized emails • Contacts are automatically created in Go High Level (GHL) CRM • Emails are sent using GHL SMTP • Email tracking and reply handling are managed inside GHL 🔹 Key Features: ✔ Craigslist listing scraping automation ✔ Email extraction from listings ✔ AI-powered personalized email generation ✔ Go High Level CRM integration ✔ SMTP-based automated email sending ✔ Email tracking and reply management ✔ Standalone Windows (.exe) software ✔ Built for real-world business automation 🔹 Project Type: Custom-built automation software developed for a real client to automate large-scale outreach and lead management.
0
46
Cover image for Trident AUV(autonomous underwater vehicle) GUI
Trident AUV(autonomous underwater vehicle) GUI is a desktop operator dashboard that connects to an AUV telemetry source and provides live monitoring, control, and visualization of the vehicle in real time. Real‑time status: shows numeric readouts for thrusters, yaw/pitch/roll, and depth so operators see current sensor and actuator values at a glance. Time‑series visualization: displays smooth, sliding‑window plots for yaw, pitch, roll and depth (configurable smoothing/window) to inspect trends and transient behavior. 3D attitude view: renders a rotating OpenGL vehicle model that mirrors the IMU orientation so users get an immediate visual sense of heading, pitch and roll. Control surface: exposes thruster sliders, a dial/desired yaw, PID tuning controls and mode selection (manual / semi‑auto / auto), allowing operators to send commands and tune behavior during tests. Primary uses: live mission monitoring and operator control during bench tests, debugging and tuning vehicle behavior (PID & thrusters), post‑test review with plotted telemetry, and creating demo/screenshot artifacts for reporting.
1
113