Raghavan's Projects
API for TheMovieDb.org website
Apriori - Frequent data set mining
Sourcecode of binarydreams.in
Crawler and Search engine(BlinkerSearch)
How to become a data scientist
The Microsoft Bot Builder SDK is one of three main components of the Microsoft Bot Framework. The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/SMS to Skype, Slack, Office 365 mail and other popular services.
This introduces the implementation of the Boyer-Moore Majority Vote Algorithm to find the most repeated character in a string. The algorithm is efficient, with a time complexity of O(n). Additionally, the PR includes a visualization of the algorithm using Python's Matplotlib library
Microsoft Cognitive Toolkit (CNTK)
A Shortest path algorithm with soft-min version to comprehend multiple cost functions
To find the shortest path between two people in a social graph
Chrome extension to search using GPT3
A simple http get/post handler for java
To extract the data from imdb and place in structured list files
Build instant question and answer engine for PDF books using OpenAI Models
KDD 2013 challenge to identify paper author ambiguity
Lazy implementation of popNext method in python
Just working on Processing library here
Host Your Own Journaling App with OpenAI RAG Summarizer - Allows you to log daily life events, thoughts, and happenings through a text box on the landing page, store the data in a local SQLite database, and visualize a summary of the past day, month, or year using OpenAI's API for generating summaries and advice
A generic mergesort implementation in Java
A simple app on MERN stack
To predict movie ratings
Implementing networking concepts/protocols
Code repo for the assignments done during my NLP course at UIC during Spring-2014
Using Black-Scholes model and market data from yfinance analyze different options trading strategies.
RAG based tool for indexing and searching PDF text data using OpenAI API and FAISS (Facebook AI Similarity Search) index, designed for rapid information retrieval and superior search accuracy.
To detect inconsistent word polarities using cambridge and oxford dictionary