Tavishi
Kashyap

Computer Science student. I build backends with Java and Spring Boot, plus full-stack and ML projects.

Work

In development

QueueLess

A hospital queue system that tells patients which doctors are available and how long they will wait.

Java, Spring Boot, PostgreSQL, JWT, React

Churn Prediction

Predicts which customers will leave. Logistic Regression reached 80.12% accuracy.

Python, Scikit-learn, Streamlit

Churn prediction app

Fake News Detector

Classifies news articles as real or fake using NLP and Logistic Regression.

Python, NLP, Node.js, MongoDB

Fake news detector app

Learning Dashboard

Student dashboard with Supabase.

React, Supabase, Tailwind

Student Management

Student and admin portals with registration, login and a REST API, deployed on Render and Vercel.

Node.js, Express, MongoDB Atlas

Stack

Languages

Java, C, C++, Python, JavaScript

Backend

Spring Boot, Node.js, Express, REST APIs

Frontend

React, Next.js, Tailwind CSS

Databases

PostgreSQL, MongoDB, Supabase

ML

Scikit-learn, Pandas, NLP, Streamlit

Tools

Git, GitHub, Maven, VS Code

Path

  • 2026Frontend Intern, Andaz KumarLearning dashboard with React and Supabase
  • 2026Frontend Intern, TramsAgency landing page with React and Tailwind
  • 2025Machine Learning Training, Netmax45 days of ML algorithms and model building
  • 2023B.Tech CSE, IKGPTU Main CampusGraduating 2027, CGPA 8.9/10

Practice

I solve data structures and algorithms problems every day and keep the solutions public: arrays, strings, linked lists, stacks, queues, recursion, trees, sorting and searching.

Java and Spring Boot code lives here:

30 Days DSA Spring Boot