ScoreMyDay

📖 Project Story – ProdScore 🔹 About the Project

Every day we complete tasks, but often we fail to reflect on how productive our day truly was. Most productivity apps focus on tracking tasks, but not on evaluating the overall efficiency of a person’s day.

That’s where ProdScore comes in. It’s a simple yet smart web app that allows users to:

Input their daily tasks 📝

Rate completion or focus level ⭐

Generate a Productivity Score based on weighted algorithms 📊

This score helps users measure, reflect, and improve their daily performance.

🔹 Inspiration ✨

The inspiration came from the common question we ask ourselves at the end of the day:

“Did I really make today count?”

With increasing distractions, it’s hard to stay consistent. I wanted to build a lightweight, beginner-friendly AI-powered tool that motivates users through numbers and insights, without overwhelming them.

🔹 How I Built It 🛠

Frontend – HTML, CSS, JavaScript (for user input forms and UI).

Scoring Algorithm – Written in Java (or JS), calculates daily productivity score:

AI/ML Extension (Beginner Level) – Used a basic regression model (or decision tree later) to predict mood vs productivity correlation from historical data.

Visualization – Productivity graphs using simple JS chart libraries.

🔹 What I Learned 📚

Basics of AI/ML integration in web apps.

Writing scoring algorithms and normalizing daily data.

Creating user-friendly UI/UX that motivates rather than pressures.

Handling JSON/localStorage to persist data.

🔹 Challenges Faced 🚀

Designing a fair scoring system that adapts to different users.

Making the app simple yet powerful without using heavy APIs.

Learning how to visualize productivity trends in an engaging way.

Time constraints during hackathon development.

🔹 Future Improvements 🔮

Add NLP-based task categorization (work, health, study, etc.).

Integrate with calendars (Google, Outlook).

Mobile-friendly version with push reminders.

Use ML models to suggest optimized schedules.

Built With

• bootstrap/tailwind-css
• css
• data
• firebase/mongodb-(optional)-platforms/cloud:-github
• heroku/render-apis:-none-(basic-project
• java
• javascript
• json
• languages:-html
• netlify/vercel
• python-frameworks/libraries:-chart.js
• scikit-learn-databases/storage:-localstorage
• vs-code