Rahul Goyal's starred repositories
AI-Interview
We are building an interface that helps users with a situation by the use of an AI that asks questions on the basis of a code which the aspirant has written, asked from a diverse pack of frequently asked coding questions. Then the AI asks the aspirant questions related to his code and some staple questions. At the end of this experience, the user receives his interview profile showing him his flaws in answering questions, his fluency, and his ability to handle the situation verbally. This can be done on various levels and be stored for future scrutiny by the user. We can also provide a growth curve that helps the aspirant to judge his progress.
my-voice-analysis
My-Voice Analysis is a Python library for the analysis of voice (simultaneous speech, high entropy) without the need of a transcription. It breaks utterances and detects syllable boundaries, fundamental frequency contours, and formants.
emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
vocode-core
🤖 Build voice-based LLM agents. Modular + open source.
PORTFOLIO-LLM-with-database
Simulation of ML interview with plain OpenAI and based on interview-related articles. Use of LangChain framework, OpenAI text-davinci-003 LLM and ChromaDB database for answering questions about loaded texts.
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
deep_trader
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.