t is a product-based (SAAS) website in which the betting prediction software is being sold for the users. So that users can earn a good amount of money by analysing all the betting data with rates from the paid software. The data are collected from various sources by setting CRONJOB to update and collect new data after a certain period of time. Some of the data are collected through APIs and some of the data are collected using Web Scraping and also the web scraping section is beautifully managed with Celery and RabbitMQ as well so the results will be much more effective and faster.

Developed in Django, this provides functionality for finance management of 5 different type of song sources, I have calculated Revenue/Sales of 5 song sources according to Client formula, It has visualization reports based on the revenue calculation for admin, In addition, It also has a dynamic dashboard for the artist. For the Dashboard Development I had used complex Django ORM and also used the aggregation and annotation concepts. Moreover, It also consists of Paypal Payment gateway to pay the revenues to the artists. This total product was developed in 3 phases in around 9 months of time span.

Developed in Django + Vanilla JavaScript. This provides functionalities of multiple plant systems such as plotting of power vs irradiance vs predictions. The data is dynamically fetched into the graphs. Every graph visualization is controlled by the calendar. We have the graphs which display the power, irradiance and predicted power data for yearly, monthly, weekly and daily. All the necessary query was written in the RAW-SQL, for that many complex concepts was used like aggregation, annotation and grouping concepts.

This website is for small children who want to learn by watching videos and then attempting MCQs. Applied filtering for displaying videos and questions based on the subjects, class, grades, topic name. For all the features I had developed the APIs using Django REST Framework. We have dockerize this project in order to deploy it.

 

Developed backend and FAST APIs built using DRF(Django REST Framework) for weight loss application called Dr Kats. Calculations were done based on options selected for given questions and body type was calculated based on responses. Supplements were selected based on body weight, height, and extra information given by the user. Even a micro eCommerce store was set up for various weight loss products.