This is a submission for the GitHub Finish-Up-A-Thon Challenge

What I Built

I built a final-year project around Perovskite Solar Cell (PSC) simulation and analysis using SCAPS-1D data. The repository is not just a set of plots; it is a structured analysis pipeline that studies dark I-V behavior, illuminated J-V curves, layer thickness effects, temperature variation, quantum efficiency, and ETL/HTL sweeps. I also added an automated report-generation workflow and a machine-learning dashboard to make the simulation results easier to explore and interpret.

Demo

GitHub repository: https://github.com/Asphane/perovskite-cell-scaps-simulation-analysis

Demo video: https://drive.google.com/file/d/1zSmQiwvoN42cu0jrwqucPoSIW9Lh2u1g/view?usp=sharing

Screenshots:

The Comeback Story

This project started as raw simulation output and scattered analysis notebooks. I turned it into a cleaner, more complete project by organizing the work into separate modules for J-V analysis, dark I-V analysis, thickness optimization, QE, temperature sweep, and ETL/HTL sweep studies. I also added report generation so the findings could be documented more systematically instead of staying buried inside notebooks.

My Experience with GitHub Copilot

GitHub Copilot helped me move faster on repetitive work: notebook boilerplate, plotting code, data handling, and report-generation scripts. It reduced the amount of time I spent writing mechanical code and let me focus more on the physics, the analysis logic, and the structure of the final project.