A Python pipeline that automates job search and lead generation on LinkedIn. It uses Selenium and Requests to search and pull listings based on the user's chosen roles, skills, and locations, then filters them and turns the raw HTML into clean, structured JSON so matches are ready to use right away. I built the whole thing myself, from scraping logic to data output.
Drop in any logo and it fills up like liquid while a rolling counter climbs to 100%, then the logo pops and a check badge lands. It is made for SaaS upload, export and onboarding screens, where a generic spinner would normally sit.
To rebrand it, replace one logo image, retype three texts (status, done message, brand name) and change two colors. The second brand in the video (Nimbus Pay) was made through the SVGator MCP in six edits.
Named layers: logo, status-text, status-done, brand-name, progress-bar, badge-bg, percent. Motion designed in code, project built and rebranded through the SVGator MCP, then checked in the SVGator editor.
TripMate is an AI-powered travel recommendation platform designed to provide personalized travel suggestions based on user preferences and behavior. I developed the system using collaborative filtering, NLP-based aspect analysis, and emotion recognition to improve the personalization of recommendations. The application was built with Python and Django, with machine learning and deep learning models integrated into the recommendation workflow.
LafAI is an AI-powered lead generation and customer engagement platform built for real estate businesses. It helps businesses capture and qualify potential leads through AI-powered conversations while streamlining lead management and follow-up. I built the platform with Python and Flask, integrating AI, chatbot functionality, and a web-based interface to create a practical business automation solution.