My Work.

Take a look at some of my projects I've done, apps or websites that I've made and my designs.

Neer - Flood Management App

Created for Ministry of Jal Shakti

Application Build in Smart India Hackathon 2022
RK1111 (Central Water Commission (CWC), Ministry of Jal Shakti) Two-way mobile communication (G2C and C2G) for dissemination of flood forecasts to end users and collection of real time data of inundation area through crowd sourcing.

Technologies Used

Django Django Rest FrameWork React Native SQL Python React
Created for Ministry of Jal Shakti

Super Store ETL Pipeline

Super Store Sales etl pipeline in IICS (Informatica Intilligent Cloud Service)
This project centres around the efficient handling and transformation of data. Specifically, we're tasked with the comprehensive upload of Superstore data into Snowflake, implementing an ETL pipeline in IICS (Informatica intelligent cloud services) for data refinement, and structuring the data into three fundamental components: location dimension table, date dimension table, and a fact table and developing a user-friendly Power BI dashboard that empowers data visualization and presentation. In an age where data insights drive crucial decision-making, our endeavour serves to provide a streamlined, accessible, and insightful approach to data management.

Technologies Used

PowerBi IICS Snowflake SQL

Movie Recommendation System

Overview
This Movie Recommendation System is designed with a content-based filtering approach, focusing on analyzing the content of movies and user preferences to generate personalized recommendations. It takes into consideration the features of each movie and matches them with user preferences to provide relevant and tailored suggestions.

Technologies Used

Python NLP Streamlit

Skin-Cancer-Detection

Overview
This project is a part of the final year college project, aiming to contribute to the reduction of skin cancer-related deaths. Utilizing deep learning technology, the project focuses on improving the precision of skin cancer diagnosis and treatment, ultimately bridging the gap between identification and medical intervention.

Technologies Used

Python - Django HTML-CSS Tensorflow Deep Learning - Convolution Neural Network