Graduate Career Placement Tracking System Title Proposed System Titles: Career Placement: Tracking the Path to PostGraduate - Graduation Success University Career Services and Placement System Data-Driven Career Placement System Graduate Career Development and Job Placement System Post-Graduate Career Course System Problem and Solutions Needs/Problems Solutions Students often lack clarity on which career paths align with their skill sets. A web-based career placement system that incorporates skill assessment and job matching. Traditional career placement systems do not fully integrate skill analysis. Integrates both hard and soft skills evaluations to guide students toward suitable career paths. Gap between student competencies and job market requirements. Offers tools for students to explore potential careers based on their current and target skill sets. Limited guidance on improving or adapting existing skills for specific industries. Provides counseling about their skills. Difficulty in tracking post-graduates' employment status. Implement a structured system to collect and store employment data. Inconsistent or missing responses from post-graduates. Provide multiple data collection methods. No centralized database for career placement handlers. Implement a structured record-keeping system. No career support for unemployed graduates. Facilitate career placement referrals and provide access to career-related resources. METHODS Descriptive Analytics Summarizes past employment data to assess trends. Tracks employment rates of BSIS graduates from Alijis, Fortune Towne, and Talisay campuses over the past five years. Compares employment status across batches to identify patterns. Analyzes demographics of unemployed graduates. Monitors student engagement and system usage. Assesses skill readiness to support curriculum Informs career services decisions through data insights. Data Visualization The system will use various graphical representations to highlight employment patterns and trends, making it easier to interpret employment rates and career outcomes: Bar charts – Comparing employment rates across different academic programs. Pie charts – Showing the percentage of employed, unemployed, tracked, and untracked graduates. Line graphs – Tracking employment growth or decline over multiple years. Expected Outputs Employment Dashboard – Displays employment trends for CHMSU graduates. Employment Status Classification – Categorizes graduates as Employed, Unemployed, Tracked, or Untracked for efficient monitoring. Employment Reports – Summarizes employment trends, job placement efforts, and success rates for career placement handlers. Enhanced Career Placement Efforts – Generates job recommendations based on graduate qualifications and provides targeted resources. Enables placement handlers to refine strategies and build industry connections. Student Profile Summary – Provides an overview of each student's skill strengths, weaknesses, and job-readiness based on assessment results. Program-Based Skill Overview – Compares average skill scores across academic programs and highlights common skill gaps. Job Match Report – Shows how many students are matched to specific job roles and industries, including comparison percentages. Career Path Suggestion Log – Records the most recommended career paths per skill category and tracks student follow-through. Job Application Tracker – Counts student job applications and identifies the most frequently applied-to roles. User Activity Log – Summarizes login frequency and module usage, highlighting the most accessed features. System Usage Summary – Provides monthly and yearly data on student activity to help monitor engagement and performance. General Objectives To develop a web-based career placement system for Carlos Hilado Memorial State University that includes skill assessments to help students match their abilities with the right career paths. The system will also replace the manual process of tracking the employment status of BSIS graduates from Alijis, Fortune Towne, and Talisay campuses, and provide support by connecting unemployed graduates with job opportunities and career resources. Specific Objectives Design and implement a web-based system that replaces the manual process of tracking post-graduates' employment status through printed forms, chat messages, and online surveys. Categorize post-graduates into four classifications Employed, Unemployed, Tracked, and Untracked for easier monitoring and organization. Provide career placement referrals for unemployed graduates by matching them with job opportunities based on the BSIS graduates from Alijis, Fortune Towne, and Talisay campuses. Develop a structured database where career placement handlers can review, update, and manage alumni employment records. Generate reports that summarize employment trends to assist career placement handlers in tracking graduates' career progress. Provide access to career support by allowing graduates to view job postings and career-related resources. Improve communication between CHMSU and its alumni by offering a platform where graduates can update their employment status. To design and implement an online platform that allows students to assess their hard and soft skills using self-assessment tools. To generate personalized career path suggestions based on individual skill profiles and academic background. To provide a job matching feature that connects students with relevant job roles according to their skillsets. To integrate training and workshop recommendations that address identified skill gaps. To offer a dashboard for career placement officers to monitor student progress and placement readiness. To generate descriptive analytics reports on student skills, job matches, workshop participation, and system usage. Alignment with SDG Goals SDG Goal Relevance SDG 4 – Quality Education Strengthening career readiness for graduates SDG 8 – Decent Work and Economic Growth Expanding job opportunities and reducing unemployment SDG 9 – Industry, Innovation, and Infrastructure Integrating technology to improve career placement efforts Key Interventions Strengthen career placement efforts by improving tracking, referral processes, and job placement strategies using data insights. Align job opportunities with graduate skills to improve university-employer connections. System Process User Registration/Login – Students and staff access the system using their credentials. Graduate Registration – Collects graduate details such as name, degree, and contact information. Skill Assessment Module – Users complete self-assessments for both soft and hard skills. Skill Profile Generation – The system creates a visual and analytical summary of each user's competencies. Career Path Suggestion – Recommends suitable career options based on the user’s skill profile. Job Matching Module – Matches student profiles with available job openings. Recommendation – Suggests workshops or training programs to address skill gaps. Employment Tracking – Updates and monitors the employment status of graduates (Employed/Unemployed). Employer Data Collection – Gathers job postings and feedback from employers. Career Support & Placement – Uses employment and skill data to assist job-seeking graduates. Data Analysis & Report Generation – Summarizes employment trends and system usage, and provides downloadable reports for students and administrators. Part II: System Processes and Dataset Identification Method System Process Total User and Graduate Registration User Registration: Allows students and staff to securely access the system. Graduate Registration: Collects graduate details like name, degree, and contact info. 2 Skill Assessment and Profiling Skill Assessment Module: Enables users to complete soft and hard skill assessments. Skill Profile Generation: Creates visual and analytical profiles of users' competencies. 2 Career Guidance Career Path Suggestion: Recommends suitable careers based on individual skill profiles. 1 Job Matching and Tracking Job Matching Module: Matches student profiles with available job openings. Employment Tracking: Updates employment status of graduates (Employed/Unemployed). 2 Employer and Support Services Employer Data Collection: Gathers job vacancies and feedback from employers. Career Support & Placement: Uses collected data to assist graduates in finding jobs. 2 Data Analysis and Reporting - Data Analysis & Report Generation: Summarizes trends and generates downloadable reports for students and administrators. 1 PERT-CPM Calculations: Relevant Tasks Planning Phase Define system requirements and objectives. Identify data sources for graduate tracking. Outline system functionalities and reporting needs. System Design Design the system architecture. Create data model for job listings and surveys. Plan user roles. Design wireframes and user interface (UI/UX). Validate system designs. Development Phase Develop a career placement profile. Implement career support. Implement classification features for employment status. Set up the database and integrate data collection methods. Create a survey and feedback collection module. Develop employment tracking and reporting modules. Test user authentication and security features. Testing Phase Conduct system testing to check data accuracy and functionality. Gather feedback from career placement handlers and graduates. Make necessary adjustments based on test results. Deployment Phase Launch the system for use by career placement handlers. Train staff on system functionalities and data management. Begin tracking and analyzing graduate employment data. Maintenance and Continuous Improvement Data validation & updates. Collect ongoing feedback from users. Dataset and Analysis Data Set Data Fields Student Profile Personal details, academic info, skill assessment results Graduate Details Name, Year Graduated, Program Employment Status Employed, Unemployed, Tracked, Untracked Contact Details Contact information for follow-ups Historical Data Employment trend data Skill-to-Job Mapping Skills matched to relevant job roles Training Programs Workshop and skill development details Job Listings Job roles, required skills, qualifications System Usage Logs System use, module interaction, feedback using the pasted text and the attached file i want you to create me a functional system where its focused on data analytics that uses python as the system, decision tree as the algorithm model, descriptive analytics as the analytics and lastly it uses bar graph, line graph and pie graph