Due Sense

https://drive.google.com/file/d/19RdX9WHBLXPTOUqfTA-5ToVhF6INwWq8/view?usp=sharing

Every student has experienced that moment: a sudden realization that a deadline is tomorrow, an assignment they forgot about is due, or multiple tasks collide in the same week. It’s not that students are incapable—it’s that they misjudge time, underestimate difficulty, and struggle to prioritize. We saw this happening constantly around us at NIAT Pune. Through discussions and a built-in survey on our prototype, 17 out of 30 students admitted they frequently fail to manage their workload. They weren’t lacking motivation; they were lacking clarity. No app warned them early or told them what to do first. That insight became the spark for DueSense.

DueSense is a predictive academic assistant that calculates a Risk Score for every task based on deadlines, difficulty, and weekly workload. Instead of just storing tasks, it highlights the Top 3 priorities and provides micro-action steps that help students start immediately without overwhelm. It’s not just a planner—it’s an early-warning system that actively prevents deadline failure.

We built a live, fully interactive demo using Base44. We implemented a rule-based risk engine, dynamic task management, micro-actions, filters, sorting, persistence via localStorage, and a built-in validation survey. We refined the UI based on student feedback and optimized both mobile and desktop layouts.

There were many challenges like:-

Designing a risk model that feels accurate and intuitive
Ensuring mobile and desktop responsiveness without breaking UI
Integrating survey validation inside the website
Making the tool fast, simple, and non-overwhelming for real students
Preserving functionality while enhancing UI within Base44’s constraints

Achivements:- 1.A working predictive engine that highlights the Top 3 priorities 2.A clean demo that students understood immediately

Real validation: 17/30 NIAT Pune students struggle with workload
Smooth UI, micro-action suggestions, and CSV export
A trial demo accessible directly on the website
A future-ready vision beyond a simple hackathon prototype

We learned that most students don’t struggle with studying—they struggle with managing their study. We also realized how powerful predictive models can be when applied to everyday academic planning. Building DueSense taught us user-centered design, rapid prototyping, and the importance of solving real problems backed by data.

DueSense will soon send email reminders 2 days before deadlines, making the tool proactive even when the student isn’t using the app. We are also exploring collaboration with NxtWave to integrate this predictive planning engine directly into their learning portal, bringing smart academic management to thousands of learners. The long-term vision is to expand DueSense into a full AI-driven learning assistant that adapts to each student’s pace and workload patterns.