Projects
You will find a diverse range of initiatives that exemplify my skills and expertise across multiple domains. This collection highlights my successful collaborations, innovative solutions, and consistent on-time project deliveries.
Conjexure
An ML web app for forecasting the stock prices of certain companies into the future. Conjexure utilizes the stock prices for Alphabet Inc. (GOOGL) and Apple Inc. (AAPL) for training. This is primarily because the closing stock price graph for these companies over time is quite smooth overall and avoids any sudden ups or downs and follows a healthy upwards trend.
EmotiScan
A multimodal approach for detecting depression using physiological & behavioural data.
Traditionally, extensive clinical interviews were conducted to analyze the subject's responses to determine their mental state. However, we have developed a model that incorporates this approach by combining three modalities - Text, Audio, and Video. Our model assigns appropriate weights to each modality & generates a binary classification output of yes or no, indicating whether the patient is exhibiting depression symptoms.
MaskSense
Face Mask Detection
Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect face masks in static images as well as in real-time video streams. This project aims at differentiating between those who wear a mask and not wear a mask.
Ailment
This project encompasses the prediction of multiple diseases, including Pneumonia, Malaria, Liver Disease, and Cardiovascular Disease, within a single platform. With its comprehensive approach and advanced technology, this project aims to revolutionize healthcare by providing a holistic solution for disease prediction and prevention.
Cartoonify
Enhancing an image with cartoon effects.
Sketching or creating a cartoon doesn’t always need to be done manually. Nowadays, many apps can turn your photos into cartoons. But what if I tell you, that you can create your own effect with few lines of code? Yes, Open CV is a very powerful tool with immense possibilities. It can be used to recognize objects, detect, and produce high-resolution images. In this project, we will show you how to give a cartoon-effect to an image in Python by utilizing OpenCV.
TweetVibe
Twitter Sentiment Analysis
Twitter provides businesses with an opportunity to interact directly with consumers. However, the vast amount of data on Twitter can make it challenging for brands to determine which tweets or mentions to prioritize for responses. Sentiment analysis uses NLP and machine learning to analyze the sentiment of tweets or mentions, helping brands effectively gauge consumer opinions and preferences.
