About Me !

Built an end-to-end real-time data pipeline for Spotify analytics using a modern data stack. Simulated streaming data was processed through Kafka → Snowflake → DBT → Power BI, enabling automated ingestion, transformation, and visualization. Designed a Medallion Architecture (Bronze → Silver → Gold) and orchestrated workflows using Apache Airflow, with full system deployment via Docker.

→ Enabled real-time analytics on streaming data Reduced manual processing with a fully automated pipeline Delivered insights on user behavior, regional trends, and device usage through interactive dashboards

Farmers often struggle with low crop yields due to missing weather updates, late disease detection, and limited guidance on suitable crops. Expert support is not always available, especially in rural areas. This project addresses these challenges with a mobile app that provides real-time weather insights, AI-based disease detection from images, and smart crop suggestions to support better farming decisions..

→ The system enables users to capture crop images through the smartphone camera, which are analyzed using a deep learning model to identify diseases and recommend appropriate treatments. The application also provides weather-based crop suggestions and an intuitive interface introducing major crop categories and common diseases. By integrating environmental data with image-driven diagnostics, the solution aims to enhance decision-making, reduce crop losses, and improve overall farm productivity.

Farmers often struggle with low crop yields due to missing weather updates, late disease detection, and limited guidance on suitable crops. Expert support is not always available, especially in rural areas. This project addresses these challenges with a mobile app that provides real-time weather insights, AI-based disease detection from images, and smart crop suggestions to support better farming decisions..

→ The Rural Farmer Support App is a multilingual mobile application designed to empower farmers in rural communities. It provides real-time weather updates, personalized crop recommendations, and government scheme alerts based on the user’s location and preferred language. By offering localized and easy-to-understand farming insights, the app enables farmers to make informed decisions, improve crop yield, and increase income.