
Projects
The work done so far
Sentiment Analysis Tool

The application is intended to bring forth the sentiment carried by the
user's words. The words are preprocessed, fed into a machine learning model
which categorizes it into one of three categories: negative, neutral or positive.
The analysis also provides the percentage confidence of the model regarding the
classification in each of the three categories.
Application Type - Machine Learning
Year of Completion - 2022
SkimLit

A lot of users face the problem of going through lengthy research papers just to get some little information that they are looking for. Even with abstracts summarizing the contents of the paper in a paragraph, it is hard to understand the context sometime. SkimLit takes in the abstract of any research paper and breaks it down into labelled segments. These labels can be any one of the following five - objectives, background, methods, results, and conclusions. With these labels preceding the sentence of the abstract, it becomes a breeze to read through the content which would otherwise take longer to extract from.
Application Type - Machine Learning
Year of Completion - 2022
Farmer Vision

In recent times, the unchecked growth of stray cattle roaming about is causing menace for people. In India, especially in the state of Uttar Pradesh, there are about 1.18 million of them as per a census in 2019. Often times, these stray cattle wander into designated farmlands, wreaking havoc on the sown crops. In turn, this results in a catastrophic loss for the farmers, many of whom are dependent on the next harvest itself to make a living.
Keeping this in mind, we the members of the GDSC BBDITM have come up with a solution Farmer Vision. Farmer Vision is an Android application, that runs on one of two devices - a camera device and a client device. The camera device collects video feed from the back camera and is intended to be placed in such a way to obtain maximum coverage of the farm area. This footage is processed by our own TensorFlow Lite model, to detect any stray animal in sight.
The status of all camera devices is updated and stored using the Firebase Realtime Database, thereby making sure that all events are monitored in real time. Another device can be used as a client device using which the farmer can see the status of all cameras in real time. Using this information, he can take appropriate action such as removing the detected cattle and reporting to the concerned authorities about it.
Application Type - Machine Learning
Year of Completion - 2023
Tinder Clone

This application emulates the working and functionalities of
the dating app Tinder, complete with a matching algorithm and a
real time chat system to facilitate communication between a
match of two people.
Application Type - Android
Year of Completion - 2021
LinkedIn Clone

The application is a clone of LinkedIn with a proper
authentication system and a feed that is dynamic, and user
generated where anyone can type out what’s on their mind.
Salient features include a login screen and the main screen
that appears after a user has successfully logged in. The feed
in the main screen is dynamic and user generated. To create a
post, all a user has to do is type in what is on their mind in
the text field at the top of the field, and hit enter. The post
gets displayed instantly on top of the feed. To log out, simply
press the 'Me' button next to the notifications icon at the top
right.
Application Type - Website
Year of Completion - 2021
Movie Search

The project's main use is to obtain relevant information about
the movie, including its rating and poster, based on the title
which is to be inputted by the user. All the user has to do is
to enter the desired movie title and hit the 'Get Movie' button
to fetch the intended results. By default, the application
displays the details of The Suicide Squad (2021) by James
Gunn.
The project uses the OMDb API - The Open Movie Database (http://www.omdbapi.com), a RESTful API, to obtain the
movie information based on the title entered by the user. The
process of making this web application was highly simplified by
the employment of ReactJS. The website is hosted at
Heroku.
Application Type - Website
Year of Completion - 2021
eCommerce App

This application demonstrates a sample eCommerce application with
its major highlights being a full-fledged authentication system
implemented with the aid of Firebase, a product gallery showcasing
all available products, cart functionality and address saving for future use.
The user is able to shop from multiple categories. Each product is assigned
ratings in terms of how well made it is and its quality. This rating is in terms of stars
with 5 being the highest. Each product is well described to assist the users in making
better purchase decisions. Each product may be purchased in quantities up to 10.
Application Type - Android
Year of Completion - 2021