Sayondeep Daripa
@thedaripanatorBackend Developer specializing in Spring Boot | Enhancing problem-solving through DSA | Exploring Machine Learning
Language Breakdown
Lines of code distribution across 12 owned repositories
T-Shaped Developer
T-shapedDeep in TypeScript with broad versatility
Collaboration Network
Global Impact visualization
Repos
20
PRs
0
Growth
+18%
Top Collaborators
No collaborator data yet.
Coding Streak
Contribution activity over the past year
avzuha
@avzuha
Vishisht Mishra
@Vishisht16
Yashraj Narayan Prasad
@Yash191220
Bimbok
@Bimbok
Madhav Aggarwal
@pansariji
Top Repositories
Machine learning web app that predicts used car resale prices using Regression and Neural Networks with Streamlit UI.
A modern, interactive algorithm visualizer that demystifies complex logic through real-time, high-fidelity animations.
A full-stack social media platform built with Spring Boot and React featuring posts, stories, realtime chat, notifications, group messaging, and advanced privacy controls with JWT authentication and cloud media storage.
EduBridge is a full-stack web application designed to provide interactive learning resources, quizzes, and AI-driven guidance for students. Built with a Python/Flask backend and dynamic HTML/CSS/JS frontend, it features user authentication, personalized profiles, and easy access to career and skill development content.
KrishiSetu, an Farm-to-consumer traceability platform built with React, TypeScript, MongoDB, and Firebase featuring QR tracking, multilingual support, and secure supply chain management.
CodeVibe is an interactive learning platform designed to help beginners understand programming through simple lessons and hands-on practice. It includes structured course sections, coding examples, and a built-in HTML compiler that lets users write and test code directly in the browser, making learning web development practical, engaging.
A probability calculator using Baye's Theorem to estimate survival chances of a disease based on past hospital data.
A machine learning project that analyzes and predicts mess food ratings based on quality, cleanliness, quantity, and taste using Python and Linear Regression.
Open Source Impact
Contributions to external projects
