Aakkash24

AiVision

AiVision is an AI based software designed to automate the process of manually monitoring the surveillance system, detects threats and alerts the concerned authorities.

Chat-Bot

Chat-Who is an Chatbot built using the concepts of NLP and CNN.

SocialApplication

Toxic-Comment-Classification-using-LSTM

This is an Recurrent Neural Network model built to classify Toxic Comments commented on the WikiPedia Plaftorm. The submission is done in the Kaggle Competition.

2Do

2Do is an Application to keep the quick ideas and thoughts before you forget

Aakkash24

AshBot

An AI bot

California_house_price_model_deployment

LSTM-MultiClass-Classification

The goal of this project is to develop a multiclass classification model using Long Short-Term Memory (LSTM) neural networks to classify news articles from the BBC World News dataset into different categories.

NFT

This is the landing page created for the NFT app made using React Native which is saved in my repository. You can look that out.. Link: https://github.com/Aakkash24/NFT_App

NFT_App

ProNef is an NFT market place where people can buy NFT. This is built using React native which works in cross platform. The landing page for the Application is also in my Repository. Do check it out.

Shopping-App

This is an Shopping application made using React Native and so it's cross platform. Check out on EXPO; https://expo.dev/@aakkash24/ShoppingApp?serviceType=classic&distribution=expo-go

California_house_price_prediction

This is a Regression problem which predicts the house price in California

Classification_LSTM

Credit-card-risk-prediction

This model predicts the risk of your credit account based on the set of values enteres

Euchre

Euchre is a trick taking game with a trump, played by four players in teams of two implemente in c++

Flight-fare-prediction-

This model predicts the flight fare given the conditions and built using randomforest

Food-Reviews---Word2Vec

This project uses natural language processing techniques to build a sentiment analysis model that can accurately classify Amazon food reviews as positive, negative, or neutral. The model is trained on a dataset of Amazon food reviews, and it uses Word2Vec and LSTM to learn the semantic relationships between words in the reviews.

Multiclass-Classification-using-LSTM

New-York-Taxi-Price-Prediction

This is an ML project which is used to predict the taxi fare in NewYork and it's built using XGBoost and Linear Regression models

Newyork-Taxi-Price-Prediction-Project

This is an ML project which predicts the taxi fare in new york from the given data set. It's done using XGBoost as well as LinearRegression models

personal-site

Sentiment-Analysis-on-Quora-Dataset

Sentiment-Analysis-using-NLP

Text-Summarizer

Travel-App

Travel App is an FrontEnd application made using react native and so it's cross platform. Inspired from the design of https://dribbble.com/shots/15234492-Travel-App-UI-Exploration