Abhishek Ranjan
Projects by Abhishek
Travel Buddy
Tech Stacks: HTML, CSS, Javascript, NodeJS, ExpressJS, MongoDB, ReactJS, Sass, Firebase, JWT authentication.
Developed an app featuring a expense tracker, calculator, currency converter, analog clock with date, random password generator, password manager, and a to-do list with full backend support. Mutli-Utility application that would help others in planning their trips. One of my first projects.
Chattu Chat App
Tech Stacks: MongoDB, ExpressJS, ReactJS, NodeJS, Socket IO.
The app features real-time messaging with group chat capabilities and instant notifications. Implemented secure user authentication, message storage, and retrieval in MongoDB. Utilized Socket.io for seamless real-time communication, ensuring immediate message delivery and updates. The app also includes notification functionality.
Human vs AI Detection
Tech Stacks: Python, BERT Model, PAN 24 Datasets, ACL Datasets, Kaggle Datasets training, ReactJS, Flask, Tensorflow, Kretas.
Crafted a dynamic website leveraging Python, MERN stack, and BERT model for text classification. Distinguishes human from AI-written text in real-time, trained on datasets from Kaggle, PAN 24, and ACL. Published a research paper on it as well.
Event Management
Tech Stacks: C++, OOPS, File I/O, Custom Header Files
Users can create, schedule, and manage events effortlessly, with functionalities for event registration, participant management, and sponsors allocation. Utilized the knowledge of custom header files for keeping code in order and used File I/O as a database for storing local data during the program execution.
Password Manager
Tech Stacks: ReactJS, Firebase
Simple React JS and Firebase application. User authentication is done using sign up from google using firebase, used a database from firestore to store site name, username, and passwords.
Expense Tracker
Tech Stacks: ReactJS, Firebase
Minimalistic app made without using CSS(intentionally) to make it look simple. Made using Firebase and ReactJS for tracking expenses. It is a full stack web application where user can enter his transactions to manage his/her budget and keep a track on his/her expenditure and income.
Todo List
Tech Stacks: MongoDB, ExpressJS, ReactJS, NodeJS
Authentication using JWT token. Used MERN stack to create a simple todo list.
PAN 24 CLEF: CLI Python Program
Tech Stacks: Python, PAN 24 datasets, Tensorflow, Kretas, NLP
Command Line Interface python programme which determines the most probable text generated by AI, from given two texts as per this problem statement. Team project mentored by Dr. Partha Pakray, CSE Dept, NIT Silchar, under the SN Bose Summer Research Internship 2024, and published a research paper under his guidance.