A Computer Science and Engineering student, with a love towards Coding.
I am Aanisha Bhattacharyya,student of BTech,Computer Science and Engineering,in Institute of Engineering and Management,Kolkata. I do web-development, and also enjoy exploring Deep Learning projects, that can make a social impact.I am a dedicated learner,and love to learn new skills.
First Year YGPA: 9.00
Institute of Engineering and Management,KolkataScored 95% in ISC boards,affliated to CISCE,New Delhi.Had PCM with Computer Science.
Methodist School,DankuniScored 94.6% in ICSE boards,affiliated to CISCE,New Delhi.Had Science with PCMB and Computer Science.
Methodist School,DankuniI work on the surrogate modelling team
Julia ComputingI worked on a project involving multimodal document generation.
Adobe ResearchI worked on the Child Growth Monitor Project, to detect malnutrition in children and on Envisionit project, to facilitate detection of breast cancer from scan images.
OmdenaThis model can classify between dog breeds and also, for a human, matches it with a breed, its likely to resemble(as a fun addition). The model is made using transfer learning on ResNet50 Model.
Visit workThis is a LSTM model made in PyTorch, which can generate new love song lyrics, from the dataset of songs.
Visit workThis is a Flask App, which can detect and classify emotions, like happiness, sadness, etc in realtime, supports more than 1 person at a time. The model is a CNN, built using Keras and Tensorflow backend, with an accuracy of about 70%.
Visit workImplemented Style Transfer, as a part of a competition in the Udacity Challenge Phase of the Deep Learning Nanodegree. Used VGG19 model, for implementing the Style Transfer.
Visit workTo detect, whether a person is wearing a mask or not, trained on images from a Kaggle dataset.(Still working on this project)
Visit workMade the model with Sklearn, using TfidfVectorizer for feature extraction and PassiveAggressiveClassifier as Classifier. Model Accuracy: 94.32%.
Visit workThis is an API to give information about the Covid19 cases around the world.And also country-wise.Its built in Flask[Python].Hosted on Azure.
Visit workAn action on Google Assistant, to display information about the aqi[Air Quality Index] of a city, in real-time.Made using a custom webhook using NodeJS and Air Visual API.
This is an API to give information about elements in the periodic table.Its hosted on Heroku.
Visit workLearnEnglish is an API integrated responsive website, to tell the meaning of words in English and Spanish, as well as the correct pronunciation of the word.
Visit workThis is a ml5.js based realtime image classifier that classifies images taken from webcam, using mobilenet model.
Visit workAwarded fully sponsored DeepLearning Nanodegree, among 1500 students, based on my performance on the challenge phase.
Got the oppurtunity, to participate in FooBar, in May 2020.
Ranked 47, in the Technical Script Writer Competition by geeksforgeeks for my blog: "Creating a JSON based API using NodeJS".
Visit ProfileFor successful completion of 5 tracks, under Machine Learning, in Qwiklabs.Was awarded swags, from Google & DSC.
Visit ProfileMy research paper-A REVIEW ON HUMAN ACTION RECOGNITION IN SURVILLANCE VIDEOS-was done in a group of four and was published in a recognised Journal.
Visit Work34 Miloni,Lichubagan
Dankuni,Hooghly
West Bengal,India