ar20-sgpa-calculator

It helps students calculate their SGPA based on department and semester. By inputting subject grades, the calculator dynamically generates fields. It provides the calculated SGPA as the final output.

bmi_prediction

This Python script uses the Flask framework to create a web application for gender prediction. It loads a trained model and feature scaling model from pickle files. The application takes user input for age, annual income, and gender, and predicts the gender using the loaded models. The prediction result is then displayed on the webpage.

calculator

This is a Calculator Component implemented using React.js. It provides basic arithmetic calculations by allowing users to input numbers and perform operations like + , - , * , / . The component dynamically displays the result and includes functions for clearing the input&backspacing.

chatbot

This is a simple chatbot implemented in PHP. It allows users to interact with the bot by sending messages and receiving replies. The bot uses AJAX to communicate with a backend server and a MySQL database to match user queries with pre-defined replies. Developed using Php,Ajax,Html,Css,Javascript.

emailsender

This PHP script uses the PHPMailer library to send an email with the user's input. It retrieves the values from the POST request, sets up the SMTP server and authentication details, creates an instance of PHPMailer, and sends the email. If the email is sent successfully, the script redirects the user to the sent.html page.

eventpage_admin-user

Dynamic Event Page Where User Can Download /See His/Her Registered Events And Admin Can Access To See/Download Entire Events Participants.

fakenews_detection

This Python script uses the Flask framework to create a web application for news headline classification. It loads a trained model and vectorizer from pickle files. The application takes user input as news headlines, predicts their category using the loaded model, and displays the predicted category on the webpage.

fruit_prediction

This Python script uses the Flask framework to create a web application for fruit classification. It loads a trained model from a pickle file. The application takes user input as fruit attributes, predicts the fruit type using the loaded model, and displays the prediction on the webpage.

hatespeech_detection

This Python script uses the Flask framework to create a web application for hate speech classification. It loads a trained model and vectorizer from pickle files. The application takes user input as speech text, predicts whether it contains hate speech using the loaded model, and displays the prediction on the webpage.

healthcare_chatbot

This Django-based chatbot uses a neural network model to provide responses based on predefined intents. It tokenizes and stems user input, then predicts the appropriate response using a trained model. The chatbot aims to engage in interactive conversations with users on various topics.

hotel-booking-insights-dashboard

Analyzing canceled bookings, total guests, room preferences, and hotel types. Visualizing data through pie and bar graphs with slicer filters for 2014-2016 for comprehensive trend analysis.

image_captioning

This code uses a Vision Encoder-Decoder model to generate text captions for images. It uses the ViTImageProcessor for image processing and the GPT2TokenizerFast for tokenization. Given an image file path, the code generates a caption for the image using the model.

imdb_clone

Web_Workshop.The IMDb Clone GitHub repository is a PHP-based project that aims to replicate the functionality of the popular movie and TV show database website IMDb. It includes features such as user authentication, search functionality, and a responsive user interface.

inv_anupharma

inv_architect

inv_arts

inv_physical

inv_science

inv_technologies

ipu-summaization

IPU Summarization is a web-based text summarization application built with Flask. It supports summarization of text, images, and PDF files, using techniques like tokenization and word frequency analysis.

iris_detection

These Python scripts use the Flask framework to create a web application for predicting iris flower species. They load a pre-trained machine learning model from the 'irisflower_pred_model.pkl' file, define routes for rendering HTML templates, and handle a POST request to predict the flower species based on user input.

keyrun1227

kiranportfolio.github.io

This code appears to be an HTML file for a personal portfolio website. It includes sections for home, about, services, skills, and contact information. The website showcases the skills, experiences, and contact details.

loginregisterform

The above project is a PHP-based registration and login system with MySQL database integration. It allows users to register by providing their name, email, password, and user type (user or admin). Registered users can log in to access their respective user pages, while admins have access to an admin page.

medi-diagnos

Medi-Diagnos is a multi-faceted healthcare platform equipped with a responsive web interface. At its core is a versatile multilingual chatbot providing instant health advice in various languages. It also offers diverse features, such as DNA and protein sequence analysis, dental image processing, pneumonia detection, and brain MRI segmentation

motionxrobotics

MotionXRobotics Internship Website

nodepix-gallery

Welcome to NodePix Gallery, an innovative web application designed to provide users with a dynamic and personalized image management experience. Leveraging the power of Node.js, Express, MongoDB, and Google OAuth for authentication, NodePix Gallery offers a secure and feature-rich environment for users to seamlessly interact with their images.

pbg_ecommerce

A responsive product management dashboard for PBG Jewellery, featuring real-time Firebase integration, data tables, and dynamic category/item selection

pdf_summarization

This Flask web application allows users to upload PDF files and obtain text summaries. It utilizes PyPDF2 for PDF extraction and NLTK for text processing and summarization. The application provides options to choose number of summary sentences,the category of information to display, such as the summary, sentence list, text, formatted articl

phonecost_prediction

This Flask web application utilizes a machine learning model to predict the price of a phone. Users can input features such as data1, data2, data3, and data4 through a form on the webpage. The model is loaded from a pickled file, and the input data is used to make a prediction. The predicted price is then displayed on the webpage for the user.