RAJ SINHA

(May 2024- ongoing)

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(April 2023- April 2024)

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(Sept 2020 - Oct 2022)

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(Sept 2017 - Nov 2017)

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(July 2017 - July 2017)

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(July 2020- Aug 2020)

• Our face mask detector didn't use any morphed masked images dataset. The model is accurate, and since we used the MobileNetV2 architecture, it’s also computationally efficient and thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.). This system can therefore be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of Covid-19. This project can be integrated with embedded systems for application in airports, railway stations, offices, schools, and public places to ensure that public safety guidelines are followed.
• Softwares used :
• Project

(June 2020- June 2020)

• Intent Based Chatbot connected to FB Page in messenger app and Telegram for auto-reply. RASA framework is used for intent-based ChatBot and NLU and Core characteristics.
• Webhook is made which allows to receive real-time HTTP notifications of changes to specific objects in the Facebook Social Graph and callback URL is used for transactions that have asynchronous processing (such as claims) in order to be notified when the activity state changes.
• Softwares used : 1.Spyder: for python programming 2.Conda Prompt: for writing commands 3.Ngrok: for secure introspectable tunnels to localhost webhook development tool and debugging tool.
• Node.js commands is used for setting up an environment for webhook..
• Project

(July 2020- July 2020)

• A Twitter Bot for BIT Sindri that automatically retweets, favourites the tweets and follows the users who tweet with hashtag #bitsindri.
• A Twitter bot is a type of bot software that controls a Twitter account via the Twitter API
• The bot software may autonomously perform actions such as tweeting, re-tweeting, liking, following, unfollowing, or direct messaging other accounts.
• Aim is to analyze, 2 simple data visualizations with Altair for demonstration.
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(Dec 2019- Feb)

• The data was provided in Xiang Zhang's Google Drive dir
• This dataset consists of a few million Amazon customer reviews (input text) and star ratings (output labels) for learning how to train fastText for sentiment analysis.
• Performing data cleaning, due to missing values and removing all 3 star ratings.
• Aim is to analyze and find out the number of positive and negative reviews and visualize them using different plots
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(Feb 2019 - Mar 2019)

• Presented this app at Smart India Hackathon 2019 Grand Finale.
• Built an android app and Admin Dashboard with 5 other where the Contractor registers his/her details along with the tender ID.
• The location of the contractor is tracked using GPS and weather is verified at his coordinates using the historical weather API. This verified data is stored in the Firebase database.
• These data are also shown in the administrator's panel which is a web interface.
• Languages Used - Java, XML, Firebase
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(Feb 2018 - March 2018)

• Built a unified platform for producers, consumers, and transporters.
• Presented this Android application at Smart India Hackathon 2018 Grand Finale
• Used Firebase as the backend system for the Android App.
• Implemented 3 different interfaces for 3 types of user and integrated Google Maps API, Weather API, etc.
• Created using Android Studio and programmed using XML and JAVA.
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( May 2018-2019)

• Built a website for annual Techno-Management Fest of BIT Sindri, "SANDHAAN".
• Built a website for annual Techno-Management Club of BIT Sindri, "the Model Club".
• Used APIs like tawk Chat API, Payment Interface API, Chipmonk Newsletter API.
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