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Bhavdeep Singh Sachdeva's Projects

audio-project icon audio-project

A software to determine which kind of environment we are in based on the sounds detected.

autogen icon autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

codewise icon codewise

CodeWise, your coding assistant, uses LLMs for seamless coding. Get real-time suggestions, error identification, and insightful snippets. It adapts to your style, making coding efficient for all levels. Elevate your coding with CodeWise—the future of smart development.

drowsydriver icon drowsydriver

A python program for drowsiness detection using OpenCV and Dlib

flint2 icon flint2

FLINT (Fast Library for Number Theory)

gnewspunjabilanguagesupport icon gnewspunjabilanguagesupport

A Happy and lightweight Python Package that Provides an API to search for articles on Google News and returns a JSON response.

labelrand icon labelrand

Experiments to see the effect of random labels on Language models

literaturesurveytool icon literaturesurveytool

For the CSE 472 Social Media Mining Class we are making a network of authors and papers and analyzing those networks for a literature survey for a particular topic.

mlpack icon mlpack

mlpack: a scalable C++ machine learning library --

numnet_plus icon numnet_plus

This is the official code repository for NumNet+(https://leaderboard.allenai.org/drop/submission/blu418v76glsbnh1qvd0)

os_guide icon os_guide

A guide compiled by me to help others understand the commands of linux OS

punjabi_news_website_crawlers icon punjabi_news_website_crawlers

This project contain three Python file for creating the Punjabi News Corpus by crawling three respective Punjabi News websites, i.e. punjabitribuneonline.com, punjabijagran.com, and jagbani.punjabkesari.in

roadsafetyusingvanet icon roadsafetyusingvanet

One serious road accident in the country occurs every minute and 16 die on Indian roads every hour. In most cases, these deaths are due to the delay in the response we get from the external sources. In such situation, an automatic accident detection mechanism can help to save the loss of life. In this solution, we would demonstrate a prototype for automatic accident detection and prevention using Vehicular Ad hoc Network (VANET) and Internet of Things (IoT). We will be using off the shelf OBD devices to get diagnostics and real-time information of your car, smart bands for medical insights and your phone acting as a field gateway to communicate with the IoT Hub. The data we get from the phone and OBD device will be stored and analyzed using Azure services based on several inputs. This would enable meaningful insights on users driving behavior. In case of emergency, nearby devices will be alerted immediately and a signal will be sent to our central server, which will send the location of the accident to the nearest emergency centers. This will also act as a base for smart traffic management system.

sentimentkeytouseridentification icon sentimentkeytouseridentification

Making Conventional passwords more secure by randomizing it based on the various interests of a person and corroborating the whole process by passive Behavioral Bio-metrics.

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