Akshita Dixit
Call me plastic
Call me plastic
Tbh it is super weird to talk about yourself, but below is a mere try.
I'm a Software Developer and a CS graduate (2019-2023) from IIIT Kalyani.
Here are a few things I am/have been involved with:
Most recent first, these aren't on my resume:
I was annoyed of having to write README files for my projects. So I went ahead and created a CLI tool to auto-generate a README file for any project regardless of programming language! 📜 ✨
Made for a semester project submission for the subject "Software Engineering". Takes in your input files with tasks' details and outputs a file with task specs like duration, float etc. Contains basic unit tests as well.
Made for Smart India Hackathon submission, this is a Flutter app, using Firebase for BaaS, that gives users virtual experience of pilgrimage sites. Includes immersive 360 degree views of the sites, allows donations to the pligrimages. (repo is pvt for now, added link in case would want to make it pulic someday)
College assignment. Doubly Connected Edge List to read .ply files in Python
Made for a Hackathon. Write code on paper (in any language), scan it using the Flutter app, provide inputs and get the output of your handwritten code.
Made for a semester project submission for the subject "Compiler Design". Takes a grammar's production rules and creates a LR(1) parsing table, then finally parses the grammar to "accept" or "reject".
Made for a hackathon. A Google meet bot that joins the meeting by invitation. Bot acts a realtime Bilingual Translator to convey messages to each side almost instantly.
Made for a Hackathon. A chrome extension for women + non-binary => that suggests you a stronger, and much more confident lingo that makes you aware of how subconsciously you're trying to undermine yourself through your words, for men => that suggests you a softer, much more inclusive lingo, so you do not offend any community member.
Not a project exactly but made while I was learning Deep Learning. This is a Categorical Detection and Prediction Task based on subset of a Kaggle dataset from Eye Images APTOS 2019 Challenge. Predicts the Blindness Stage (0-4) class from the Eye retina Image using transfer learning via resnet50.