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Aryaman Pattnayak's Projects

dolly icon dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

financial-fraud-detection icon financial-fraud-detection

This project uses machine learning to identify fraudulent transactions. The PaySim1 dataset is used to train a random forest classifier. The model is able to accurately identify fraudulent transactions with a low false positive rate. This model can be used by financial institutions to protect their customers from fraud.

financial-sentiment-ai icon financial-sentiment-ai

Financial Analyst AI is a project that applies artificial intelligence to analyze earnings calls and other financial documents. It leverages various NLP (Natural Language Processing) models to perform tasks such as speech recognition, text summarization, sentiment analysis, company and location extraction, and identifying forward-looking statements

fingpt icon fingpt

FinGPT is a project that uses natural language processing to enable users to request financial stock market data by simply typing a natural language query. The project simplifies the process of retrieving and visualizing stock data, making it accessible to a wider range of users.

llmops icon llmops

Experiments with LangChain, Vector Databases and DeepLake.

qaapp icon qaapp

The QAApp is a question-and-answer application that uses natural language processing to answer user questions. The application is still under development, but it has the potential to be a valuable tool for students, researchers, and anyone else who needs to find information quickly and easily.

stock-trends-pred-model icon stock-trends-pred-model

This project predicts the future price of a stock using machine learning. A simple linear regression model is used to predict the closing price of a stock for the next 30 days. The RMSE is 0.05, which means that the predicted price is within 0.05 of the actual price on average.

youtube-video-summariser icon youtube-video-summariser

YouTube Transcription & Summarization: Download and transcribe YouTube videos, generate AI-powered summaries using langchain, and store data in DeepLake. Simplify video analysis and extract key insights efficiently.

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