DEV Community: Amogh Singh

CrimeAlert

Amogh Singh — Thu, 12 May 2022 22:22:49 +0000

Overview of My Submission

CrimeAlert is a simple Web based app which is built using Appwrite. The website allows you to view the nearby crime incidences in a given time range, and can alert you about incidences in your locality so you can be careful.

I was inspired to create this website, as I had unknowingly passed by a locality where a crime had occurred and was alerted by the locals. Using this website, users can know if the locality they are in is safe or is currently unsafe.

The website gains data about crimes by using user-reported statistics from the report page, which allows us to build an initial database and also allow for public sourcing of data.

It utilizes Appwrite for maintaining the database of users and also to store the crimes reported, with their location and other details.

The user is first prompted to create an account or sign in, upon which he is then taken to the location page where the location of the user is derived. After this the server checks for reports of crimes nearby in a particular radius using the coordinates, and reports them on the home page.

The website can allow the user to check if his locality or the locality he currently is in is safe.

Submission Category:

Web2 Wizards

Link to Code

AmoghSingh25 / CrimeAlert

Crime Alert

A way for users to know if they are in a safe space.

The website utilizes Appwrite to manage user creation and authentication and data storage.

The website works by referencing a publically sourced database of crimes, which is reported by the users of the app. It then calculates the distance of the occurence of the crime from the users location, and displays the danger levels along with the number of crimes according to the distance radius.

Screen Shots

Login Page

Sign Up Page

Location Page

Report Page

Home Page

View on GitHub

Additional Resources / Info

Login Page

Sign Up Page

Home Page

Report Page

Location Page

Automated Customer Care Rating

Amogh Singh — Sat, 09 Apr 2022 22:13:24 +0000

Innovative Ideas Challenge

Introduction

The Innovative Ideas category was an ideal choice for me, as I was interested in pitching a project that would be useful and allow for quicker results and more accurately. Before taking part in Deepgram Hackathon, I have had a bit of prior experience with Speech Recognition Technology, mainly out of curiosity and exploration.

My Deepgram Use-Case

My inspiration for this submission comes from customer care centers, where the executives are often helpful but there are cases where executives are rude to their customers, which has a negative impact larger than the positive impact made. A single bad experience can spoil a customers relationship with the organization/company, and in the long run can be harmful to business. Deepgram can be used here to generate transcripts of the call recordings usually stored by the customer care centers and appropriately evaluate a executive's efficiency and their talking style with customers.

Upon exploration of the Deepgram website and their API documentation, I found a few use cases of call transcription and realized this would be an ideal use-case for Deepgram, and therefore chose this particular topic.

Dive into Details

Customers are the utmost priority for any company or organization, and they must be treated so, especially when they seek help from a customer care. But there are cases where customer care executives are rude to a customer.

This is where Deepgram comes into picture. Deepgram can be used to convert those call center recordings to text, which can then be processed by a Machine Learning model, to generate the general
emotion of the customer care executive through the words they chose, and the emotion of the reply given by the customer. This can then be used to score and better train the executives to handle customers well and allow for a better service to the end customer.

This method takes into consideration the emotion or attitude of the customer as well as the executive to better judge the executive and can be utilized appropriately to eliminate cases where the customers are being rude with no fault of the executive.

Conclusion

Having gone through the Deepgram documentation, it can certainly achieve the task of call transcription, and coupled with Machine Learning models for emotion detection, it could be used for efficient handling of customers and training of customer care executives.

The idea of speech recognition, and the extraction of emotion through text, is the two main components of this idea, with both of them being highly researched, and now, widely used technologies, for various use cases ranging from hate speech detection to captions generation.

Through the course of research for this project, I feel that with the combination of these two technologies, there are many more applications which can be devised and used to automate simple tasks like the one discussed.

Uni-Tab - One Tab, Many Uses

Amogh Singh — Tue, 11 Jan 2022 18:31:45 +0000

Overview of My Submission

A single website to perform multiple functions like reading the news or a task tracker, with a main purpose to increase productivity and save time by decreasing the amount of different applications used.

Submission Category:

Choose Your Own Adventure

Link to Code

Github

AmoghSingh25 / Uni-Tab

Uni-Tab

Additional Resources / Info

This website currently offers news, task trackers/To-Do list, a Web Search bar and a weather viewer.

Software used : -

MongoDB Atlas - Storing User information and data like tasks.
Node.js and Express - Backend server code and routing
Weather - OpenWeatherMap API
News - NewsCatcher News API and NewsData.io API
User authentication and creation - Firebase
Clock - Moment.js
Location - IPInfo.io

Screenshots

Home Page

Dashboard

Tasks

News

Weather

View on GitHub

Link to website

Additional Resources / Info

This website currently offers news, task trackers/To-Do list, a Web Search bar and a weather viewer.

Software used : -

MongoDB Atlas - Storing User information and data like tasks.
Node.js and Express - Backend server code and routing
Weather - OpenWeatherMap API
News - NewsCatcher News API and NewsData.io API
User authentication and creation - Firebase
Clock - Moment.js
Location - IPInfo.io