audio-recognition-using-dl

axios

cats_and_dogs_classifier

Differentiates between Cats and Dogs using Convoluted Neural Networks in the ipynb file. Furthermore, contains Images of Cats and Dogs in the Data as well as the TrainingSet Folder.

chatbot-

This project is a simple chatbot trained using a dataset from Kaggle with a GRU neural network. The chatbot can respond to various queries based on the training data provided, utilizing natural language processing techniques.

email-spam-classifier

Classifies whether a mail is spam or not using Machine Learning Methods.

foss_weekend_classification

IIITL Foss Weekend Classification

foss_weekend_regression

This repository hosts a project centered around conducting regression analyses using our specific dataset.

git-practice-weekend-24

githubminesweeper-neonkazuha

Practice

graph-neural-networks

indian-names-generator

A character-based statistical name generator that creates unique Indian names for boys and girls. Using a probability distribution model, it predicts the next character in a sequence to generate culturally relevant names. The dataset is sourced from Kaggle's collection of Indian names.

indiet

latent-semantic-ananlysis

The notebook contains code to perform Latent Semantic Analysis on a dataset containing the name of various books. Lastly, also contains a Scatter Plot created using Plotly.

local-rag

markov-classifier

Uses Markov Model to predict whether given lines belong to Edgar Allan Poe or Robert Frost

movie-recommendation-system

Movie recommendation System built using Tfidf Vectorizer and Cosine Similarity Score.

multi-class-prediction-of-obesity-risk

Predicts The fitness levels of People based on different factors.

neonkazuha

nexum-frontend

pawfect-pals

poem-generator

Generates lines of poems using Markov Models. Dataset Used: Robert Frost's Poems.

randomquotesgenerator

Fetch quotes form API and display them.

realty

A Real Estate Platform using Blockchain and Web Development

redemption-2024

Event: Redemption

redemptionround2-2024

Event: Redemption

rnn-text-classification

Sentiment Analysis using Simple RNN, LSTM and GRU.

text-classification-using-cnn

Uses Convolutional Neural Networks on a dataset of sequences of text and labels to classify the text according to the labels..

text-classification-with-deep-learning

Classify Tweets into positive, neutral or negative sentiment through Deep Learning in Tensorflow and Keras after preprocessing data using Scikit Learn.

text-summarizer

Summarize text using TFIDF Vectorizer. Contains code for Extractive Summarizer

transformer-neural-network

Code Transformer neural network components piece by piece