Tech Cognoscente |  Building an API First World 🚀

github

Pranav Joglekar  • Peerlist

A chatbot(deployed on telegram) which interacts with you to determine your mood and suggests you songs according to your mood. Created a ML Model to extract emotions from text and use them to predict appropriate moods.

Moodi Chatbot

Modified the google lighthouse source code to create a new npm package which provides screenshots of the web-page in various dimensions along with lighthouse report, to provide insights to the developer about various views of the site.

web-review npm package

An app built and deployed using MERN stack which allows us to create draggable lists and cards to take notes and arrange them into meaningful patterns.

Notes Web Application

This system has 2 parts - A mobile application to scan the RFIDs and update the database and a web part to allow students, teachers to login in and view and edit the database. Created the web part completely from scratch -both frontend and backend - using Angular UI for Front End, AngularJS, PHP and mySQL. Used APIs provided by college for validating data.

Attendance System

Milaap is the first decentralized peer to peer video conferencing platform which allows upto 8 people to video call seamlessly
- Designed the whole system - System Database Design, Architecture, Core Backend and UI from
scratch in 8 weeks.
- Responsible for DevOps of the application

Milaap

A portal to help students find internships and for startups to look for appropriate interns at the Pune Startup Fest. Created the application in MERN Stack from scratch. Deployed on AWS with autoscaling & load-balancing to handle traffic.

Startup Fest Portal

Created a email client in python which uses socket programming to send and receive mails by implementing SMTP protocol. Used Tkinter for frontend of the project. The application sends and receives all kinds of mails including attachments in the form of audio, video, text etc.

GUI Email Application

Created a fully functioning Sudoku Solving application, which when provided with a Sudoku image solves and displays the Sudoku. Implemented the   project in Python and used "OpenCV" for image recognition

Image Processing Sudoku Solver

Added a feature to the nano open source text editor - allow opening of folders and browsing through them to select and open a file.(Vim has the feature, nano doesn't)