Sriram Srinivasan's repositories
Boneage-Prediction-from-Medical-Images
Boneage and gender prediction from Medical Images
bone-xray-images-dataset
This repository contains the bone xray scan images dataset
Smart-Mask-Enforcement-System
A Smart Mask Enforcement System using Multitenant Cascading Architecture in TinyML
100DaysOfCode
This repository contains the files created by me during the 100 Days Of Code Challenge
awesome-github-profile-readme-templates
This repository contains best profile readme's for your reference.
CarRentalSystem-JavaSwing
This repository contains the files related to the Java Swing project on Car Rental System created as a part of the Object Oriented Paradigm course
DSA-Bootcamp-Java
This repository consists of the code samples, assignments, and the curriculum for the Community Classroom complete Data Structures & Algorithms Java bootcamp.
GymWebpage-UserInterfaceDesign-Project
This repository contains all the files related to the gym webpage project created by our team as a part of the User Interface Design course in the second semester.
HactoberFest2023
This is for HacktoberFest2023
Haskell-Code
Haskell programs
meme-generator
A meme generator web application created using React
slideshow-app-react
A slideshow web application created using React to render the images from an API in a slideshow
Leetcode-scripts
Repo for creating awesome leetcode solution scripts to make my panda smarter
LeetCode_Algorithms
A collection of solutions for Medium/Hard LeetCode problems. Educational resource
logseq
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: http://trello.com/b/8txSM12G/roadmap
m4l1_managing_a_project
This file can be used for Coursera Graded Assignment on Version Control Week 4. This file was only created to help people to learn and complete their assignment as it should have been.
markdown-cheatsheet
Markdown Cheatsheet for Github Readme.md
Meta-Front-End-Developer-PC-m3l2_forking_lab
The link in the Coursera lesson doesn't work so I'll make my own...
Smart-Alarm-using-tinyML
Sleep state prediction in embedded systems based on sensor data.