abhir1902's Projects
The project gives the probability that the accident will take place on the shortest path between start point and end point based on the database. It uses floyyd Warshall algorithm for the shortest path.
The project intends to detect the user's emotions based on the web camera and suggest the songs to relish the user's mood. This client side web application uses Django framework, OpenCV and deepface library for emotion detection.
The following is a freindship closeness calculator between the connections (similar to LinkedIn). The code allows the user to make a friend with other person. Also it allows them to remove their connections. 1st level connection is a direct connection, 2nd level connection is indirect connection and 3rd level connection is no connections.
Main Website of HackClub VIT Chennai
This is the hacktoberfest 2022 repository. You can contribute any codes like HTML, Django, JavaScript, React JS, CSS and programming languages like C, C++, Python, Java codes only if they are related to the web development domain.
LinkedIn data scrapper for getting information about the user profilename, profilePicture, Email, Contact number, LinkedIn profile link, company, designation, location, about, tags, languages, education and experiences. Also the extension will help in downloading the JSON file for that user profile.
Pencil box is my first full stack project designed for providing smart board services. Project link : https://pencilbox.netlify.app/
This is a React Django project.
This is risk management project
This project full stacked and is based on the real time text messaging web application. This project is inspired from the messaging applications that we use today. This application is just like the text messaging application. I have used MERN Stack for the development of this project.
The given file uses python for Text to file conversion. PyPDF2, gTTS and os were the modules used for coding. The user is given two options : Text or Audio Book.
Explore Threads' rapid rise in the competitive social media realm. Our project delves into factors driving user ratings (1-star to 5-star) and conducts sentiment analysis on app store and play store reviews. Uncover insights shaping Threads' reception and performance within the swiftly evolving landscape of digital platforms.
The user friendly GUI application is built using the Tkinter library in Python. The video editor application generates random frames from the input video and stores them in the destination location.
The weather application designed using Django and Current weather API.