Siddharth Thakur

Hotel_Management

July 31, 2024 – August 1, 2024

Hotel_Management — GitHub repository

BREEZEFIT

July 12, 2023 – July 12, 2023

A full stack Web App that lets customers customize their street wear fits their own way. This app mainly focusses on taking orders from customers using order page where they have an option to upload the print of their choice and then fabric and accordingly redirect to payment and also helps to track progress of their orders. Tech used: MERN stack.

Google-Stock-Price-Predcition-using-LSTM-Algorithm

July 10, 2023 – July 10, 2023

The project aims to predict Google's stock prices using the Long Short-Term Memory (LSTM) algorithm. LSTM, a type of recurrent neural network (RNN), is capable of capturing long-term dependencies in sequential data.

BOTNET-detection-using-Machine-Learning-

July 10, 2023 – July 10, 2023

(UNSW) datasets are used to build four machine learning models. The decision trees model produced the best overall results with 100% testing accuracy, 100% precision, 100% recall, and 100% F-score in detecting botnet assaults using 82,000 records from the UNSW-NB15 dataset. Our overall result is 99.63%.

EDA-on-National-Diabetes-Insulin-Pump-Audit-2016-17

July 10, 2023 – July 10, 2023

EDA techniques will be applied to gain insights into the usage of insulin pumps for diabetes treatment, exploring factors such as patient demographics, pump settings, and treatment outcomes, aiding in improving diabetes management and treatment strategies.

Qualitative-and-Quantitative-Comparision-of-Songs-using-Machine-Learning-and-Exploratory-Data-

July 10, 2023 – July 10, 2023

The project involves a qualitative and quantitative comparison of songs using machine learning and exploratory data analysis (EDA). The project combines both approaches to provide a comprehensive analysis of songs, aiding in music recommendation systems and music-related research.

MindMapGenerator-using-NLP

July 10, 2023 – July 10, 2023

The project aims to develop a mind map generator using natural language processing (NLP). It utilizes NLP techniques to analyze and extract key concepts from textual input, enabling the automatic generation of structured mind maps. The tool enhances brainstorming, organization, and knowledge representation processes.

Machine-Learning-for-detection-and-prevention-of-traffic-based-attacks-using-CICIDS-dataset

July 10, 2023 – July 10, 2023

The CICIDS dataset is a well-known and widely used dataset in the field of network security. The goal of this project is to develop machine learning models that can effectively detect and prevent traffic-based attacks by analyzing the patterns and characteristics of the network traffic data.

Cleaning-Services-A-Javscript-App-with-Bootstrap-CSS

July 10, 2023 – July 10, 2023

This web app is intended to calculate and select among several cleaning services with the option to edit or chose the services depending upon the requirements. This app calculates the price for cleaning appointment and immediately prompts to the customer. Also it contains a feedback page to provide feedback about services and applications

URBAN-SOCIAL-CRIMES-CLASSIFCATION

April 12, 2023 – July 10, 2023

This project integrates the learning of machine learning, feature engineering, and deep learning to effectively classify the crime type.