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Studency- Scrappy
LANCERTechnologies Involved:
PYTHON
Area Of Work:
Machine Learning
Project Description
Studency, a forward-thinking EdTech organization specializing in recruitment automation for training centers and schools partnered with Oodles to create a web-based application that streamlines student lead generation. They required a unified system capable of extracting candidate data from job platforms like LinkedIn, Indeed, HelloWork, and Google, reducing manual effort and accelerating admissions processes.
Scope Of Work
The client sought Oodles for a centralized solution to automate the collection, processing, and management of student leads from multiple online platforms. The project focused on building a web application that supports platform integration, real-time data capture, role-based access, and lead pipeline visibility to improve recruiter efficiency and response time.
Our Solution
To address the client’s challenges, Oodles developed a full-stack web application named Scrappy, designed to automate student lead generation from major job and listing platforms.
Key features implemented:
- Multi-Platform Integration: Seamless extraction of lead data from LinkedIn, Indeed, HelloWork, and Google.
- Smart Lead Dashboard: A dynamic, filterable dashboard that allows users to view, sort, and manage leads by platform and status.
- Automated Tagging & Categorization: Streamlines lead sorting based on job title, source, and skill relevance.
- Role-Based Access Control: Ensures data privacy and secure access for admins, recruiters, and center representatives.
- Activity Logs & Notifications: Tracks user interactions and sends alerts based on lead activity and updates.
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