Undergraduate in AI & Data Science | Game Developer | UI/UX Designer | Deep learning

github

Sanjana Mandarapu • Peerlist Profile

This project utilizes speech recognition and sentiment analysis to determine the sentiment of spoken words based on the tone of voice rather than the actual content. It employs the Google Speech Recognition API and the VADER sentiment analysis tool to provide insights into the emotional tone of the user's speech.

Vibe-Tester

This project utilizes OpenCV and Keras to perform real-time emotion detection on faces in a video stream or file. The system uses a pre-trained deep learning model for emotion classification. Detected emotions include Angry, Disgusted, Fearful, Happy, Neutral, Sad, and Surprised.

Emotion Detection

AI | Cloud | Data Science | Data Analysis | Machine Learning

BTR Analysis is a project aimed at highlighting the criticality of precautionary measures for road accidents. Leveraging Data Analysis, Machine Learning, and Web Development, this project integrates these aspects into a cohesive platform that displays and analyzes crucial data related to road safety.

btranalysis (Beyond the Road)

Capynut is a fun 2D game created with Unity that challenges your skills as a delivery driver. In this game, you'll take on the role of a delivery driver, navigating through various obstacles to deliver donuts to Capybaras at various locations

Capynut

Colorize brings life to your black and white images with a simple and intuitive user interface. It uses deep learning models and OpenCV to add vibrant colors to your monochrome photos

Colorize

Nomnom is a web application that combines sentiment analysis, machine learning, and collaborative filtering to help users plan meals and dining experiences based on their emotions, events, or preferences. The app suggests restaurants and dishes that align with the user's mood, budget, dietary requirements, and more.