Manasi Saiba's Projects
realtime chat application-where users can chat in real time with each other within the same room.
Cheer-Up is a website where mental patients can seek advice for their mental problems such as Depression. It Provides Real-Time chat feature where a patient can chat with the Expert in real time chat.
Placements in the blue color jobs market or the vocational sector is a specialized segment often overlooked by the larger job portals specifically for women as they focus mainly on corporate profiles. A candidate searching for a blue collar job in India may not have a fancy resume or college degree needed by the large job portals to get placed. In order to bridge this gap we have launched a recruitment platform specifically designed for the vocational sector seamlessly integrated with Sector Skill Councils (SSC) and Training Partners. We are a recruitment platform where entry level and experienced blue collar jobs can be searched in good companies across India.
🚀✨ Help beginners to contribute to open source projects
Contribute in Open Source Projects 2020
Hacktoberfest2020
Make your first PR! ~ A beginner-friendly repository. Add your profile, a blog, or any program under any language (it can be anything from a hello-world program to a complex data structure algorithm) or update the existing one. Just make sure to add the file under the correct directory. Happy hacking!
This Repository is for Hacktoberfest absolute beginners guide
Open for all and will be accepted within 24 hrs. For contributing. Write program in any language,Make sure you write your name as well
All LLD and Machine Coding Rounds Questions and Answers
We have made a Medical Notebook App using Full stack technologies which will keep all our records of medical history and receipts so that whenever in future we need to have during emergency.
Bringing all Data Structures and Algorithms under one Roof ⚡
Open Source Computer Vision Library
A Social media web app which allows users to share pictures and media . Also have some other cool features.
Build a CNN (LeNet) model for smile detection