Sales Lead Management System with Integrated Face Recognition Attendance and Real-Time Location Tracking

The need for effective workforce management is promoting the creation of sophisticated systems to automate Organizational procedures. This article introduces a sales lead Management system that incorporates face recognition- based Attendance tracking and real-time location verification to facilitate improved sales operations and accountability. built with python , django, html, css , javascript’s and bootstrap, the System offers a soild platform for lead allocation, employee profile management , automated logging of attendance and leave request flexibility (hours , half-day , full- day) Taking advantage of computer vision (opencv) to ensure accurate attendance with liveness detection and geolocation (geopy) to Authenticate clock-in, the SLMS minimizes manual burden and enhances transparency by offering a real-time audit trail of lead activity. The system attained 95% accuracy in face recognition under simulated conditions. The SLMS is intended to facilitate data-driven decision making within sales processes. Through it’s simple user interface, it connects administrators and employee well. Subsequent versions could Leverage machine learning to prioritize leads in the future using historical information. This solution serves contemporary organizational issues, promoting productivity and scalability for remote and hybrid work. Key Words: Sales Lead Management System(SLMS), Face Recognition attendance, Location Tracking ,Leave Management , python ,django , opencv ,geopy .