 30 Min Meeting | Arshdeep Singh | Cal.com

Arshdeep Singh specializes in Flutter, Dart, Firebase, Firestore, Svelte, React, React Native, Supabase, Fastapi, Python, Postgresql, Amazon Web Services, Expo.Io, Cypress, Vite, Nginx, Algolia, Ionic, Capacitor.Js, and C++. Follow Arshdeep Singh on Devpost!

Arshdeep Singh's (ArshdeepSahni) software portfolio | Devpost

TrackMyCovid - A mobile app which gives you a risk analysis of contracting COVID19 based on the places you been to and analyzing the amount of case...

TrackMyCovid

https://flutter-research-papers.web.app. Contribute to ArshdeepSahni/Research-Papers development by creating an account on GitHub.

GitHub - ArshdeepSahni/Research-Papers: https://flutter-research-papers.web.app

Considering the safety and security of women in India in the recent times, We wanted to give a try from our end to address the issue in a simpler and safer way.  Looking at the recent trends and the most powerful weapon with the humanity - technology, we planned to use the same to give access to women in serious or dangerous situations to address the issue in a fast and easier way to ensure their security.  We are working on providing an app for women which analyses the user location and surroundings and with a little input of behavioural analysis, we can estimate the probability of a women to be in a safe environment or prone to be under threat. Extra features like SOS, Instant recording, police siren(to drive away the danger), booking cabs and custom shake which user can a functionality to be available at hand.  Women Safety App constantly shares the user’s location to the backend where the backend analyzes if the user is presently in a dense area or is alone in a very less populated zone or in an unused area via the google traffic analysing API.  Contains a dashboard that contains all the important Action Buttons like SOS, InstantRecorder, Police Siren, Instant image capture,nearby police stations, instant Taxi/Cab booking, and most important a custom shake button to alert the application to automatically perform the emergency tasks while in danger.  In the event the user doesnt give consent for their location being monitored, the app just functions as a safety and self defence app with various protections features which can make the app in action either on rapid shake while in emergency or by custom use by the user.  While focusing on the idea for future developments, we want to proceed with WatchOS application as wearables are the near future and the technology is easily available at hand for users. Though we faced time and technical constraints at the moment, we are still optimistically moving towards the same for which we also started for working on the prototype. - ArshdeepSahni/SheHeroes

GitHub - ArshdeepSahni/SheHeroes: Considering the safety and security of women in India in the recent times, We wanted to give a try from our end to address the issue in a simpler and safer way.  Looking at the recent trends and the most powerful weapon with the humanity - technology, we planned to use the same to give access to women in serious or dangerous situations to address the issue in a fast and easier way to ensure their security.  We are working on providing an app for women which analyses the user location and surroundings and with a little input of behavioural analysis, we can estimate the probability of a women to be in a safe environment or prone to be under threat. Extra features like SOS, Instant recording, police siren(to drive away the danger), booking cabs and custom shake which user can a functionality to be available at hand.  Women Safety App constantly shares the user’s location to the backend where the backend analyzes if the user is presently in a dense area or is alone in a very less populated zone or in an unused area via the google traffic analysing API.  Contains a dashboard that contains all the important Action Buttons like SOS, InstantRecorder, Police Siren, Instant image capture,nearby police stations, instant Taxi/Cab booking, and most important a custom shake button to alert the application to automatically perform the emergency tasks while in danger.  In the event the user doesnt give consent for their location being monitored, the app just functions as a safety and self defence app with various protections features which can make the app in action either on rapid shake while in emergency or by custom use by the user.  While focusing on the idea for future developments, we want to proceed with WatchOS application as wearables are the near future and the technology is easily available at hand for users. Though we faced time and technical constraints at the moment, we are still optimistically moving towards the same for which we also started for working on the prototype.

(Svelte + Tailwind) Table Package which can render and Change the Data Type Format of the given data into the other Data Type Formats. - ArshdeepSahni/Svelte-Tables-Tailwind

GitHub - ArshdeepSahni/Svelte-Tables-Tailwind: (Svelte + Tailwind) Table Package which can render and Change the Data Type Format of the given data into the other Data Type Formats.

The app takes your home location and set's it as a safe zone where COVID exposure levels are 0 and the app classifies the data received from the AWS Data Exchange enigma corona tracker it classifies every place in the world as one of 3 zones. Zone 1 is a green zone where COVID cases are light to almost none for example countries with less COVID cases or in general an empty space, Zone 2 is an orange zone where you have orange level exposure where COVID cases are mediocre and finally, Zone 3 which is a red zone which is a heavy COVID population concentration and also includes public spaces. The app classifies which zone you are in and presents a risk-based analysis based on the time you spent outside and based on the zone that the app classifies you in. It tracks how long you spent outside on that zone and when you return back home the app gives you an analysis of all the places you been to and the associated zone and gives a risk estimate on contracting COVID19. It gives you a detailed analysis of your daily activity and your monthly exposure levels to COVID. This gives the user's a visual understanding of contracting COVID and the app also furthermore gives a risk analysis of wearing a mask vs without wearing mask for giving the user a perspective on how their exposure risk changes based on your precautions. Lastly, the app presents a set of precautions that must be taken based on your exposure levels in the time you spent outside. The app also contains a map that wasn't completed to its potential but was intended to give a zone view of your location's radius on different exposure levels at different places. - ArshdeepSahni/TrackMyCovid

GitHub - ArshdeepSahni/TrackMyCovid: The app takes your home location and set's it as a safe zone where COVID exposure levels are 0 and the app classifies the data received from the AWS Data Exchange enigma corona tracker it classifies every place in the world as one of 3 zones. Zone 1 is a green zone where COVID cases are light to almost none for example countries with less COVID cases or in general an empty space, Zone 2 is an orange zone where you have orange level exposure where COVID cases are mediocre and finally, Zone 3 which is a red zone which is a heavy COVID population concentration and also includes public spaces. The app classifies which zone you are in and presents a risk-based analysis based on the time you spent outside and based on the zone that the app classifies you in. It tracks how long you spent outside on that zone and when you return back home the app gives you an analysis of all the places you been to and the associated zone and gives a risk estimate on contracting COVID19. It gives you a detailed analysis of your daily activity and your monthly exposure levels to COVID. This gives the user's a visual understanding of contracting COVID and the app also furthermore gives a risk analysis of wearing a mask vs without wearing mask for giving the user a perspective on how their exposure risk changes based on your precautions. Lastly, the app presents a set of precautions that must be taken based on your exposure levels in the time you spent outside. The app also contains a map that wasn't completed to its potential but was intended to give a zone view of your location's radius on different exposure levels at different places.

Made to be great! Contribute to ArshdeepSahni/finshare development by creating an account on GitHub.

GitHub - ArshdeepSahni/finshare: Made to be great!

Minimal (Svelte + Tailwind) Calculator Package. Contribute to ArshdeepSahni/svelte-calculator development by creating an account on GitHub.

GitHub - ArshdeepSahni/svelte-calculator: Minimal (Svelte + Tailwind) Calculator Package

WINNER- 🏆 AMAZON AWS DATA EXCHANGE CHALLENGE(USA), 🏆 RallyToUS + VetsinTech Hackathon(USA), 🏆 Energy Conservation And  Energy Efficiency(PEDA) - ArshdeepSahni

ArshdeepSahni - Overview

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ACHIEVEMENTS:

- WINNER of Innovative Projects Competition On Energy Conservation… · Experience: Razorpay · Education: Chitkara University · Location: Bengaluru · 500+ connections on LinkedIn. View Arshdeep Singh’s profile on LinkedIn, a professional community of 1 billion members.

Arshdeep Singh - Razorpay | LinkedIn

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VCOS

FinShare

Interactive Tools in Online Education

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 Arshdeep Singh's profile on Product Hunt | Product Hunt

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Arshdeep Singh and his team had virtually participated in the AWS DATA EXCHANGE CHALLENGE, held at USA, wherein their submission ‘TrackMyCovid’ won an

Arshdeep Singh, B.E. CSE student along with his team won the AWS Data Exchange Challenge for their Healthcare App | Chitkara University

Honoured to win Innovative projects competition on energy conservation and energy efficiency hosted by Punjab Energy Development Agency  (PEDA) at Chitkara University.

Congratulations to the team(Dr. Meena Pundir, Prateek Srivastava, Dr jyotsna kaushal) 

🔗 Link to the presentation: https://lnkd.in/gsttNiP8

#EnergyEfficiency
#punjab
#chitkarau
#peda
#punjabenergydevelopmentagency | 44 comments on LinkedIn

#energyefficiency #punjab #chitkarau #peda #punjabenergydevelopmentagency | Arshdeep Singh | 44 comments

npm | Profile

Every company has to answer tough questions from time to time and to do so they need data. AWS Data Exchange (ADX) makes it easy to find, subscribe to, and u...

How Using AWS Data Exchange Can Answer Tough Questions - AWS Online Tech Talks

Arshdeep Singh

Winner of Amazon AWS Data Exchange Challenge | Multiple NPM packages with 2K+ downloads | 10+ Research Patents Holder | Exploring SaaS/Micro-SaaS Products.