Vidhi Khatwani
vidhikhatwani
Engineering Undergrad
Languages
Top Repositories
Online Polling System: a GUI-based Java application with MySQL Database.
Feature extraction and analysis on audio clips taken from various online source like Netflix to detect the extent of hypertension in a person.
Decision Tree project based on ID3 Algorithm built on Jupytor Notebook with Python. Dataset taken: Tennis.csv
A simple python code to convert text into speech by using a Google API called gTTS or Google Text To Speech.
A simple 2-line for device shutdown code in Python.
Task: Prediction using Supervised ML - Predicting the percentage of a student based on the no. of hours studied using a simple linear regression model. Dataset available at http://bit.ly/w-data. Tools used: Python, Jupyter Notebook
Repositories
13Decision Tree project based on ID3 Algorithm built on Jupytor Notebook with Python. Dataset taken: Tennis.csv
Online Polling System: a GUI-based Java application with MySQL Database.
Attendance System: A very simple C project using the file handling functions, recommended only for beginnerss
Feature extraction and analysis on audio clips taken from various online source like Netflix to detect the extent of hypertension in a person.
This project primarily focuses on identifying any ideas of suicide in a Twitter post by a user so preventive measures could be taken. It will deal with both- Detection and Prevention. After identification, we aim to notify the user’s close family/ friends about the danger.
No description provided.
Detection of Suicidal ideation in tweets using classification models. Highest Accuracies Acieved: 75%
Game prediction using 3 dataset retrieved from Reddit using VADERSentiment and SentimentIntensityAnalyzer.
NLP Machine Translation - English to Hindi using kaggle datset
A curated list of resources dedicated to Natural Language Generation (NLG)
A simple python code to convert text into speech by using a Google API called gTTS or Google Text To Speech.
A simple 2-line for device shutdown code in Python.
Task: Prediction using Supervised ML - Predicting the percentage of a student based on the no. of hours studied using a simple linear regression model. Dataset available at http://bit.ly/w-data. Tools used: Python, Jupyter Notebook