prajwald45 Goto Github PK

financial-market-news-sentiment-analysis

Financial market news sentiment analysis uses NLP and ML to analyze sentiment in financial news. It helps understand investor sentiment, market trends, and make informed decisions.

mental-health-analyzer

This project aims to predict depression diagnosis using a deep learning framework Keras on a comprehensive dataset. The model uses a variety of features, including socio-demographic factors, lifestyle factors, and mental health indicators, to accurately predict whether an individual is likely to be diagnosed with depression.

netflix-dashboard-tableau

prajwald45

Config files for my GitHub profile.

regexmatcher

This is a simple flask application that allows users to input a test string and a regular expression (regex) and displays all the matches found. It also provides a feature to validate if a given email ID is valid or not.

threatidentification

Developed a comprehensive time series analysis to understand and forecast the frequency of cyber attacks on a company, involving data preprocessing, EDA, and ARIMA modeling. The project aimed to identify trends and make accurate predictions to proactively address future threats.

youtubevideosummarizer

The YouTube Video Summarizer project aims to provide users with consice summaries of YouTube Videos in Regional Language.This is achieved by extracting transcripts from YouTube videos, summarizing them using Hugging Face Transformers, and translating the summaries into the desired regional language.