Data Visualization Projects in Dhaka DivisionData Visualization Projects in Dhaka DivisionThe best fitness tool isn't the one with the most features. It's the one athletes actually open every single morning.
That was the design principle behind this AI-powered fitness dashboard built around the idea that tracking calories, workouts, nutrition, and streaks should feel motivating, not overwhelming.
Most fitness dashboards collect data and nothing else. Athletes, coaches, and health-conscious people deserve better than a generic interface that feels like a spreadsheet with a logo.
This dashboard built the experience to match the motivation.
Deep forest green and clean white canvas. An AI assistant is ready the moment you open it. Calorie progress, streak tracking, nutrition score, featured workouts, daily schedule, and community feed: every section working together as one unified fitness ecosystem.
Workout reminders, sleep reminders, and hydration alerts are all visible without opening a single sub-menu.
Because showing up deserves a tool that makes it feel worth it before the first rep.
What's the one feature most fitness apps completely overlook for real daily use? 👇 This project involved collecting, reviewing and standardising publicly available cosmic void catalogue data from DESI DR1, SDSS DR7 and SDSS DR12 sources. The raw files were examined to identify the relevant fields, catalogue structures, algorithms and available boundary information.
I developed a common data structure covering void position, redshift, comoving coordinates, effective radius, ellipticity, density contrast, significance, member-galaxy count and edge status. The data were cleaned and merged into a single table containing 200 selected cosmic voids across REVOLVER, VIDE, ZOBOV and VoidFinder catalogues.
A size-based selection method was applied to include large, medium, small and randomly selected interior voids from each catalogue group. Where edge information was available, boundary voids were excluded to maintain the quality of the selected sample.
The final package also included 19,172 member-galaxy records for 75 selected voids and boundary-surface data for 24 voids. Supporting visualisations were prepared to present the sky distribution, comoving-space distribution and member-galaxy structure of the selected voids. 
