Vaibhav Vikas
SDE @ Open. Python Developer. Machine Learning.
Home » Projects
Projects:
Logfire-cli
Go
- A fully interactive command line interface to access logs streaming and other features directly from terminal.
- Used factory pattern to analyze which type of terminal the cli is running on based on that enabled or disabled interactive features.
- Added scoop and brew installation pacakges.
Housing Price Prediction
Python and Machine Learning
- A machine learning project based on Kaggle Housing Price Prediction competition using XGBoost. Got a score of 14997.
- The project has all the steps including Preprocessing which fixes missing data and categorical data, and Pipeline which streamlines the process in a single step from fitting and predicting the data.
Distributed Cloud (KLA+ Hackathon'20)
Python and Flask
- A distributed cloud storage like google drive using Flask, where user can store and retrieve any files.
- All files are chunked based on the json provided and stored in servers with load balancing.
- End to End Encryption on chunks to provide extra security.
URL Shortner
Python and Flask
- A Python application built using Flask, which shortens the URL.
- Implemented APIs for user registration and shorten the URL either by registered user or Anonymous.
- Built the application using OOPs concepts and also implemented appropriate exception handling and CI/CD.
Mystery Maze (Live Event, Version'19)
Unity, AR and Android
- An augmented reality treasure hunt game which gives a clue to the person on scanning specific image targets.
- The application has 3D Maps using Mapbox and AR using Vuforia engine.
Food Web
Python, Flask, Tkinter and Angular
- A GUI based application to monitor the species in an ecosystem such as a forest or river etc.
- It shows all the species along with their predators and prey in visual format as graph.
- In case of Disasters such as forest fires, we can register deaths of certain species which in tell which species are getting affected.
Covid-19 Chatbot
Python, React and RASA
- A GUI based application to respond to various queries by users regarding Covid-19.
- The application is built using RASA framework, which is built using Keras and trains the model based on various user stories.
- The Chatbot GUI is built using React, where user interacts and type their questions and get queries. The application also shows realtime count of infected people in a particular state or country.