@abhishta842

Utilizing OpenAI's Whisper model and a CNN-Based Speech Emotion Recognition (SER) model to determine whether to call the authorities based on sentiment.

Osusume is a Text-Based Recommendation Engine Powered by Cohere. We are attempting to create a sentiment-based recommendation system using Cohere's Text Embedding and use Text Generation to Explain why it is recommended. We implement Osusume as a framework for people to use their data for more comprehensive implementation for Cohere to be the core processor.

ZenWork is an MVP semantic search engine for finding your dream company that shares your vision.

Polly was made possible using GPT 3.5, Whisper, and Google's Text-to-Speech. Putting these components together enables us to communicate in many forms of media and practice in different ways. The current implementation uses Whisper and Google's Text-to-Speech pair to receive and output voice messages to enhance interactive learning. We implemented six languages to choose from as we experimented with how each implementation is performed. There are many improvements within this field; this is a new way to practice and brush up your skills in Deutsche, French, English, etc. Polly is a project we intend to pursue further and in multiple different use cases.