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confusion-duplicate

custom-video-player

devconnector

dom-array-methods

exchange-rate-calculator

firstgraphql

form-validation

hangman

important_questions_ltcode

All leetcode questions with solutions

jpm-module1-py3-repl-1

jpmc-tech-task-2-py3

jpmc-tech-task-3-py3

lone_beast

meal-finder

mileago-meter

Mileago-meter is a simple prototype whose application is to calculate the amount of present in the fuel tank of a vehicle like car, bike etc which makes use of Arduino processor. It is also modeled such that it can predict the further distance a vehicle can travel more with the left-over fuel in it.

mocktheta-expo-starter

React Native (expo) + React Navigation + Hooks + Apollo GraphQL + TypeScript

model-and-menu-slider

movie-seat-booking

object-recognition-using-cnn

Efficient and accurate object detection has been an important topic in the advancement of computer vision systems. With the advent of deep learning techniques, the accuracy for object detection has increased drastically. The project aims to incorporate state-of-the-art technique for object detection with the goal of achieving high accuracy with a real-time performance. A major challenge in many of the object detection systems is the dependency on other computer vision techniques for helping the deep learning-based approach, which leads to slow and non-optimal performance. In this project, we use a completely deep learning-based approach to solve the problem of object detection in an end-to-end fashion. The network is trained on the most challenging publicly available dataset (CALTECH 101), on which an object detection challenge is conducted annually. The resulting system is fast and accurate, thus aiding those applications which require object detection.

project_leave

rasafoodbot

react

react first

react-confusion

social-networking-app

spacex

spirit_preceptor

In this project we are detecting depression from users post, user can upload post in the form of text file, image file or audio file, this project can help peoples who are in depression by sending motivated messages to them. Now-a-days people are using online post services to interact with each other compare to human to human interaction. So by analyzing users post this application can detect depression and send motivation messages to them. Administrator of this application will send motivation messages, links to movies, suggestion of books to boost the mental health, and songs for refreshment to all peoples who are in depression. To detect depression we are using SVM (support vector machine) algorithm which analyses users post and give result as negative or positive. If users express depression words in post then SVM detect it as a negative post else positive post. To implement this project we are using python Speech Recognition API which will read text from audio files and then SVM will analyze that text to detect depression, user can also upload images via post and python Tesseract OCR (Optical Character Recognition) API can read text from uploaded image and then SVM will detect depression from that text, User can upload post in text file also.

weatherreportassistant