Nirdosh Gandhi's Projects
Flask web app made using machine learning model. It uses mails from authorized user's Gmail and shows mails with categorical label on web app based on the mail messages using preprocessed machine learning model on training dataset.
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
I made some codes in C/C++. It contains Floco Man - a man who walking in the output screen and Queue Animation using simple C (without graphics), Jumping Ball using C++ Graphics & Restaurant Order Tracker System in C.
Car Parking System displays number of Vacant positions which is use for parking cars. It works with Micro servo motor, Potentiometer, Push buttons and some registers and LED 16x2 .
Competitive Programming Solutions of CodeChef, HackerRank and SPOJ Platform
This repository contains solution of Algorithmic Toolbox Course on Coursera offered by University of California San Diego
Machine learning model that shows whether the crops are damaged or not. If they are damaged then by which factors means that whether they are damaged by the excessive use of pesticides or other factors that can be predicted by our model.
Used NodeMCU 32bit ESP8266 & Relay module as hardware. Apart from these, I used different platforms: Google Assistant, IFTTT, Adafruit or Blynk. On giving trigger to Google assistant from smart phone, it turns on or off the home appliances
Developed python exe setup using tkinter to fully control mouse & keyboard movements by human hand and eye gestures. It works with the help of different libraries and packages like OpenCV, Mediapipe, Cvzone, Dlib, Haar Cascade, etc.
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It helps hostel personnel and students in getting the process done without physically going to the other party for any hostel related work like admission, fees, room allotment others suggestions and grievances. This helps in doing the process of hostel quickly and swiftly. And all services are available 24x7 by the software.
Machine learning model that predict the score by a team at the end of first 6 overs (powerplay)
OpenCV-Python project. It hides particular things according to OpenCV HSV colors and make it invisible while facing the camera.
Project consists of JavaScript and jQuery. I've made it animated and applied many features like searching bar, sorting bar & task manager tab to do specific operations.
A compilation of all the Leetcode solutions.
This C++ program utilizes SFML library to visualize the LRU LFU cache. It demonstrates adding and retrieving key-value pairs, and dynamically updates the cache visualization. The operations are done by Queue. Here queue is implemented using a doubly linked list.
Implemented Machine learning programs from scratch - without using scikit-learn or any another libraries. Mainly used Pandas, Numpy, Matplotlib and Seaborn. Here most of the algorithms works on Iris dataset.
Data Analysis & Visualization project on Netflix Movies and TV Series. Project Analyzes the given dataset and plot graphs accordingly.
Developed web app using NLP & Django to summarizes the articles which are fetched from News API according to users' prefilled country preference. Deployed this model on Heroku platform.
We pledge to Code for Cause
All Algorithms implemented in Python
Pencil Wireframes, Use Case, Sequence and Flow Chart Diagram for Restaurant Aggregator & Food Delivery System.
This repository implements a Skin Cancer Detection system using TensorFlow, Keras, and the ResNet-50 model. It accurately identifies malignant cancer cells in skin lesion images with a high accuracy of 92.4%. The project aims to assist dermatologists in early detection, improving patient outcomes in skin cancer diagnosis
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent