Devansh Kaushik's Projects
Community codes for getting started with Arduino. This Repository hosts codes for basic sensor interfacing and data collection
flutter-ngrok-backup-sync-flask
Implementing blockchain from scratch using Python & SQLite DB
This dataset contains information collected by the U.S Census Service concerning housing in the area of Boston Mass.
This repo holds preprocessing, training and classifying data on 3 different datasets, using CNN.
A software architecture for a complex event processing module has been proposed and implemented for the analysis of data obtained from application virtualization environments.
This Repository contains Codes, Handouts and Slides for the Session on Computer Vision by ACM JUIT. Feel free to use, edit and change whatever you feel like. All the rights are reserved with me for credits of materials. Just add credits whenever you need to reproduce. That's all! :) https://cvbootcamp.github.io
A collection of datasets of ML problem solving
Created back-end operational website project using django, python.
Full Stack Web Development using. HTML, CSS , Bootstrap, JS, jQuery, Python.
To increase safety of entry doors by an IoT-based facial recognition system linked to end userβs smartphones by an application and a real-time database, the project focuses on making a simple and secure IoT-based door entry system using facial recognition.
The project is basically giving an idea of a how hover styles can be added to a webpage using CSS.
Fashion Recommendation System - a hybrid approach with MF(Matrix Factorization) & item similarity based Collaborative Filtering
Repository for the Front End Challenge of CodeWIthCoffee by ACM JUIT and TIEDC
Some event posters & graphic wallpapers that I designed for, well sheer fun! I have a keen interest in graphic design, so I keep giving time to this hobby of mine and try to kick my creativity out on them.
Predicting presence of Heart Diseases using Linear & Logistic regression, SVM, Kernel SVM, K-Means Neighbors, Naive Bayes, Decision Tree, Random Forest & Dimensionality Reduction (Both Feature Selection & Extraction).
Deep Learning based image classification using Keras and VGG16
Implementing a research paper to improve upon the existing kubernetes use case using an example kubernetes 5-node cluster
Developing a deep learning model for leaf disease detection that can be trained faster with higher accuracy using transfer learning where we will involve teacher-student architecture. The teacher model will be trained on a large dataset and its knowledge will be transferred to smaller student model to improve the accuracy.
Practising data pre-processing and visualization using Python & R.
without JWT Tokens, protected Routes
Dockerized a MERN project proposal system with multiple components.
Training iris data based KNN Logistic Regression model and visualizing data using Plotly-express sunburst tree charts, and deploying on localhost using Flask.
Network Slicing and its issues, Nework Simulation and Inter-VLAN Routing using Cisco Packet Tracer
Crawl news & information websites & anticipate the likelihood of its virality.
Applying NLP techniques on Embold's github dataset and deploying Google's distilBERT model for classification.
Found this algo when studying the greedies, and made it into a good looking pygame .exe. Hope you like it!