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abhinav-bohra.github.io
Personal PortfolioTHAT
A webapp to improve the online learning experience of people with hearing impairment.Stock-Price-Prediction-using-Sentiment-Analysis
Stock Price Movement Prediction using Sentiment AnalysisHAVE
A Social eCommerce PlatformGrowFast
Employee Management SystemProducer-Consumer-System
Implementation of multiple producer-consumer system where producers create prioritized jobsDecisionTrees
Implementation of Decision Tree Algorithm using Python, Pandas, and NumPy without using any off the shelf library usiFord-Fulkerson-Algorithm
My implementation of Ford–Fulkerson algorithm to solve the famous Max-Flow ProblemPPM-Data-Quality
PintOS
Improvements in PintOSG-audio-plugin
A plugin created using Java-script to extract user’s Google dashboard data without requiring the user to upload ittinyC-Compiler
A compiler for a C-based programming language.Smart-Electroacoustic-Transducers
A voice detection system that can control the system gain (volume) by detecting and understanding external sound.Academics
Computer Science & Engineering, IIT Kharagpurabhinav-bohra
Packet-Sniffer-and-Packet-Analyzer
Packet Sniffer and Packet Analyzer - Exploring tshark and writing scripts to analyze pcapMultilingual-News-Article-Similarity
Socket-Programming
Networks Lab Assignments on Socket ProgrammingNetwork-Namespaces
Networks Lab Assignments on Network NamespacesPeer-2-Peer-Chat-Application
A network application - Peer-to-Peer Chat Application for multiple usersGraham-Scan-Algorithm
My implementation of Graham's Scan Algorithm for finding the convex hull of a finite set of points in the plane with time complexity O(N*log(N)).NaiveBayes
Implementation of Gaussian and Multinomial Naive Bayes Classifier using Python, Pandas, and NumPy without using any off the shelf library usiRudimentary-command-line-interpreter
A rudimentary command-line interpreter running on the Linux operating systemCoeuSearch
Neural File Search EngineAdversarial-Machine-Learning
Adversarial Sample GenerationPrivacy-Preserving-ML
Implementation of privacy-preserving SVM assuming public model private data scenarioLove Open Source and this site? Check out how you can help us