AI Preppr.

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Naomi Benneker
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Sebastian Schmülling
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Theo Kläsener

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AI Preppr.

The Mission

The mission of AI Preppr is to provide an AI-powered scheduling and productivity tool specifically designed for students, helping them efficiently organize their tasks and commitments. By using smart algorithms, AI Preppr seeks to enhance student well-being, reduce burnout and create a seamless experience for managing daily activities, ultimately fostering a healthier approach to student life.

The Challenge

In today’s fast-paced world, young students are caught in a whirlwind of academic pressures, social commitments and personal responsibilities. Many find themselves overwhelmed by the constant challenge of managing their time effectively, leading to burnout and declining mental health. The reliance on multiple apps for assignments, group projects and personal calendars only adds to the chaos, making it increasingly difficult to keep track of deadlines and responsibilities. As deadlines slip through the cracks, stress levels rise, leaving students feel defeated.

The solution

AI Preppr offers a smart calendar which can be integrated with learning management systems like Canvas to streamline the organization of a student's academic schedule. The software extracts information such as course schedules, deadlines, and group work. The software automatically extracts the study workload and makes predictions regarding the time needed to study for a topic, complete an assignment, attend group meetings, and prepare for an exam. Based on these approximations, a schedule is planned, and study time slots are suggested and created. Furthermore, AI Preppr provides the study content for the planned or suggested sessions. Users can set their preferences to consider personal favorite learning times, hobbies, and habits. The AI optimizes group work scheduling by finding times that align with group members' schedules and preferences. Additionally, the calendar syncs with personal Google Calendars, ensuring that personal commitments are considered when scheduling.

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