Built a Spam Classifier using the Multinomial Naive Bayes algorithm. Performed additional hardcoding to detect random gibberish texts and selected abusive words. Deployed on the Web using Flask. Incorporated with main website presented in Smart India Hackathon 2020.
"}},{"node":{"frontmatter":{"date":"4","title":"Real-time Face Mask detector","tech":["OpenCV","Python","Keras/Tensorflow","Transfer Learning"],"github":"https://github.com/Saranga7/covid19-face-mask-detectionr","external":"","ios":null,"android":null,"company":"The Sparks Foundation"},"html":"Fine-tuned the VGG19 architecture to build an efficient real-time face mask detector.
"}},{"node":{"frontmatter":{"date":"2021-06-01","title":"CMS format Reference String Generator from URLs","tech":["Python","Tensorflow","BeautifulSoup","Regex","Pandas"],"github":"https://github.com/Saranga7/Devopedia-CMS_generator","external":"","ios":null,"android":null,"company":"Devopedia"},"html":"Performed web scraping using BeautifulSoup and used Feed‑forward Neural Networks to automatically identify\nTitle, Author and Year (of publishing) entities from any webpage. Built an end‑to‑end system using Python that generates Reference Citation strings in the Chicago Manual Style format from URL inputs.
"}},{"node":{"frontmatter":{"date":"2021-05-14","title":"Sound generation using Variational Autoencoders","tech":["Python","Tensorflow"],"github":"https://github.com/Saranga7/sound-generation-VAE","external":"","ios":null,"android":null,"company":""},"html":"Trained a vanilla and a Variational Autoencoder on the Free Spoken Digit Dataset and studied the notable improvement in performance.
"}},{"node":{"frontmatter":{"date":"2021-03-14","title":"Neural Style Transfer from Scratch","tech":["Python","PyTorch","TensorFlow_hub"],"github":"https://github.com/Saranga7/NST","external":"","ios":null,"android":null,"company":""},"html":"Implemented a Neural Style Transfer model from scratch in PyTorch. Parallelly used a pre-trained model from Tensorflow Hub.
"}},{"node":{"frontmatter":{"date":"2021-01-30","title":"Musical Inst","tech":["NativeScript Vue","iOS","Android"],"github":"","external":"https://www.upstatement.com/work/moms-demand-action/","ios":"https://apps.apple.com/us/app/demand-action/id1475502876","android":"https://play.google.com/store/apps/details?id=com.momsdemandaction.app","company":"Upstatement"},"html":""}},{"node":{"frontmatter":{"date":"2021-01-25","title":"Colour Detection in Images","tech":["OpenCV","Python","Scikit-learn"],"github":"https://github.com/Saranga7/colour-identification","external":"","ios":null,"android":null,"company":"The Sparks Foundation"},"html":"Exploited K-Means Clustering to identify and display major colours in an image and search images having a particular colour just via colour name.
"}},{"node":{"frontmatter":{"date":"2021-01-25","title":"Multi-Class Musical Instrument Classification","tech":["Librosa","Python","Keras/Tensorflow"],"github":"https://github.com/Saranga7/Music-instrument-classifier","external":"","ios":null,"android":null,"company":""},"html":"Architectured a deep Neural Network and achieved a new state-of-the-art accuracy on the London Philharmonic Orchestra Datasest.First author of the paper \"Deep Neural Network for Musical Instrument Recognition using MFCCs\", under review at the 5th ICACDS-2021.
"}},{"node":{"frontmatter":{"date":"2020-10-21","title":"Topic Extraction and Modelling from Online Chats","tech":["Python","Flask","WordClouds"],"github":"https://github.com/Saranga7/topic-modelling-wordcloud","external":"","ios":null,"android":null,"company":""},"html":"Implemented Latent Dirichlet Allocation (LDA) to cluster topics in text dialogues. Generated WordClouds on day-wise segregated chats. Locally deployed WordCloud Generator of Whatsapp Chat text files using Flask.
"}},{"node":{"frontmatter":{"date":"2020-07-27","title":"Bribery Cases Forecasting Instance","tech":["Python","statsmodels"],"github":"https://github.com/utkarsh914/Xbribe/tree/master/ml_model/Forecast","external":"","ios":null,"android":null,"company":""},"html":"Built a time series forecasting instance on two arbitrary datasets of bribery case counts using the SARIMA model as a feature for website presented in the grand finale of the Smart India Hackathon 2020
"}},{"node":{"frontmatter":{"date":"2020-05-27","title":"Real-time Facial Expression Recognition","tech":["OpenCV","Python","Keras/Tensorflow"],"github":"https://github.com/Saranga7/Facial-Expression-Recognition","external":"","ios":null,"android":null,"company":""},"html":"Architectured a CNN to fairly classify among five facial emotions- Happy, Sad, Neutral, Angry and Surprise. Real-time facial expression recognition through the webcam using OpenCV.
"}},{"node":{"frontmatter":{"date":"1","title":"Restaurant Delivery Time Prediction","tech":["Python","Pandas","Scikit-learn"],"github":"https://github.com/dasdebojit/Unnamed-Creator-Hackathon","external":"","ios":null,"android":null,"company":""},"html":"Ensembled different regression models and performed a weighted average on results to formulate final predictions.
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