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android-newsapp

My coursework for Homework 9 of CSCI-571

coding-interview-university

A complete computer science study plan to become a software engineer.

codinginterviews

This repository contains coding interviews that I have encountered in company interviews

coursework-csci-571

Zip files of all my mini-projects as part of the coursework of CSCI-571: Mobile and Web Technologies

csci-561-ai-hw1

Contains my work for CSCI-561 (Artificial Intelligence) course assignments during fall 2019 at University of Southern California

csci-561-ai-hw2

Publishing my work for assignment 2 of CSCI-561

csci-561-ai-hw3

Publishing my work for assignment 3 of CSCI-561 under Prof. Laurent Itti

csci-572-information-retrieval

ebay-catalog-app

Ebay Catalog App for CSCI-571 Summer 2020. Developed this app as a comprehensive assignment

few-pix-attack-brats

fitness-app

Mini Project

flu-fighters-bravo7

graduate-school-admit-predictor

heart-disease-classification

malaria-infected-cell-classifier

A Convolutional Neural Network for image classification of cells whether they are Malaria infected or not.

nex-wissen

react-newsapp

My Course work for CSCI-571 Homework 8

routed-dynamic-bus-scheduling-and-allocation

We developed a dynamic Bus scheduling and Allocation system in collaboration with public transit service BEST operating in Mumbai, India. The given system provides three different methods for forecasting bus schedules for the next week (ARIMAX, SARIMAX, LSTM RNNs) and results in automation of services with better utilization of buses across Mumbai. The product has been developed after discussions with the public bus transport service in Mumbai, India. The system takes spreadsheet files containing all the data related to daily bus operations and generates forecasts for number of trips required on each route and per hour. Using these forecasts, we generate Bus Timetables and schedules with maximal reuse and minimal waiting time for passengers. The technologies used are python for business logic and back-end framework while PyQt framework was used for developing the GUI. Libraries used are Keras, Pandas and Statsmodel for developing the LSTM RNNs and statistical models (ARIMAX and SARIMAX) respectively.

stock-trading-android-app

tech-interview-handbook

💯 Materials to help you rock your next coding interview

wissen-nexwave

wissen-training-projects

Training projects