Lakshya Gupta's Projects
Built an Air Pollution Prediction System using Python. Tech Stack - Python, Linear Regression
To recommend similar products (apparel) to the given product (apparel) on Amazon. Product recommendations are the alternative way of navigating through the online shop, showing similar products to the user which they are searching for.
An interactive c++ program to construct NFA, DFA, and minimized DFA from a given regular expression.
Built a Chemical Segregation System using Python. Tech Stack - Python, Logistic Regression
Colorize your B/W images
The dataset being used is the sentiment140 dataset which contains 16,00,000 tweets extracted using the Twitter API. The tweets have been annotated (0 = Negative, 4 = Positive) and they can be used to detect sentiment. A comparative study has been done using three different algorithms namely Naïve Bayes Algorithm, Linear SVM Algorithm and Logistic Regression Algorithm.
Covid-19 Detection using Chest X-Ray images
Built a Diabetes Classification System using Python. Tech Stack - Python, KNN
Applied KMeans Algorithm to build a Dominant Color Extraction System. Tech Stack - Python, KMeans, OpenCV
Implemented Face Recognition and added Filters like Moustache and Glasses using OpenCV and HaarCascades CNN Model. Tech Stack – Python, OpenCV
Applied K Nearest Neighbour Classification Algorithm in Face Recognition using OpenCV and HaarCascades CNN Model. Tech Stack – Python, KNN, OpenCV
Applied Convolutional Neural Network (CNN) in Face Recognition using Triplet Loss function and KNN on the 5 Celebrity Faces dataset.
🚀✨ Help beginners to contribute to open source projects
Hacktoberfest 2018
A simple code repository for algorithms in various languages.
A repository to contribute to Hacktoberfest 2019
Applied K Nearest Neighbours Algorithm in Recognizing Handwritten Digits (0 to 9) from the MNIST dataset. Tech Stack - Python, KNN, OpenCV, MNIST Dataset
Don't just fork it 👀 Star it ⭐
The system being designed will act as a marketplace for second hand items that are used by college students. On this platform, both the supplier and the customer will be from the same category of users, i.e. college students. Even in contemporary times, when a college student does not require an item that he has used in his college life, he tries to sell it to another student or scrap dealers in the offline world. These transactions are highly inefficient as most of the times the college student is not able to find a potential customer in the offline world. The online platform that is being built in this project will have a steady flow of both suppliers and users. The Online Buy and Sell Marketplace is designed and developed to automate all manual buying and selling second hand items operations. That means a one stop destination which provides the facility to the users to buy and sell the second-hand items without any complexity.
Implementation of Multiple Criteria Decision Making (MCDM) using TOPSIS in Python.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent