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Developed a web-based Student Recommendation Management System using HTML5, CSS3, and JavaScript to provide personalized recommendations for students.
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Designed an interactive and user-friendly interface to collect student details such as academic performance, skills, interests, and career preferences.
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Implemented JavaScript-based recommendation logic to analyze student inputs and suggest suitable learning paths or career options.
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Added form validation and dynamic result display to improve usability and user experience.
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Structured the application with a responsive design for easy access across different screen sizes.