Project

Here are some of the projects I've worked on, combining data analytics, IoT integration, and machine learning. These projects highlight my ability to turn raw data into real-time insights, automate smart systems, and build predictive models using tools like Python, Power BI, and Node-RED.

๐‘๐ž๐š๐ฅ-๐“๐ข๐ฆ๐ž ๐ˆ๐จ๐“ ๐Œ๐จ๐ง๐ข๐ญ๐จ๐ซ๐ข๐ง๐  ๐’๐ฒ๐ฌ๐ญ๐ž๐ฆ ๐ฎ๐ฌ๐ข๐ง๐  ๐„๐’๐๐Ÿ‘๐Ÿ, ๐Œ๐๐“๐“, ๐๐จ๐๐ž-๐‘๐„๐ƒ, ๐’๐๐‹ & ๐†๐ซ๐š๐Ÿ๐š๐ง๐š

June 2025

As part of my ongoing summer internship at VNIT, I have developed a complete real-time IoT data pipeline that simulates temperature and humidity readings using ESP32, delivering live monitoring through modern data visualization tools. This project demonstrates how embedded systems can be effectively integrated with intelligent backend solutions.


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๐’๐ฆ๐š๐ซ๐ญ ๐€๐ ๐ซ๐ข๐œ๐ฎ๐ฅ๐ญ๐ฎ๐ซ๐ž ๐ƒ๐š๐ฌ๐ก๐›๐จ๐š๐ซ๐ ๐ฎ๐ฌ๐ข๐ง๐  ๐„๐’๐๐Ÿ‘๐Ÿ, ๐…๐ข๐ซ๐ž๐›๐š๐ฌ๐ž & ๐’๐ญ๐ซ๐ž๐š๐ฆ๐ฅ๐ข๐ญ

July 2025

This IoT-powered dashboard monitors live soil and weather data like Temperature, pH, TDS, and Turbidity using simulated ESP32 values. It integrates Firebase Realtime Database, Streamlit UI, Plotly visualizations, alert thresholds, and OpenWeather API.




View on GitHub Live Demo

๐’๐ฆ๐š๐ซ๐ญ ๐‡๐ž๐š๐ฅ๐ญ๐ก ๐Œ๐จ๐ง๐ข๐ญ๐จ๐ซ๐ข๐ง๐  ๐ƒ๐š๐ฌ๐ก๐›๐จ๐š๐ซ๐ ๐ฎ๐ฌ๐ข๐ง๐  ๐…๐ข๐ซ๐ž๐›๐š๐ฌ๐ž & ๐’๐ญ๐ซ๐ž๐š๐ฆ๐ฅ๐ข๐ญ

July 2025

This real-time health dashboard allows secure monitoring of patient vitals including Heart Rate, SpOโ‚‚, Body Temperature, and moreโ€”backed by Firebase Realtime Database. Features include SMS/Email alerts, sound notifications, and trend visualization built with Streamlit and Plotly.



View on GitHub Live Demo

๐ˆ๐จ๐“ ๐’๐ž๐ง๐ฌ๐จ๐ซ ๐€๐ง๐จ๐ฆ๐š๐ฅ๐ฒ ๐ƒ๐ž๐ญ๐ž๐œ๐ญ๐ข๐จ๐ง ๐ƒ๐š๐ฌ๐ก๐›๐จ๐š๐ซ๐ ๐ฎ๐ฌ๐ข๐ง๐  ๐’๐ญ๐ซ๐ž๐š๐ฆ๐ฅ๐ข๐ญ

July 2025

A static dashboard that visualizes time-series anomalies detected in environmental sensor data (Temperature, Humidity, Smoke, LPG) using Z-Score statistical method. Built using Python, Streamlit, Pandas, and Matplotlib with an interactive UI and sensor selector.





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๐’๐ฆ๐š๐ซ๐ญ ๐‡๐จ๐ฆ๐ž ๐€๐ฎ๐ญ๐จ๐ฆ๐š๐ญ๐ข๐จ๐ง ๐ƒ๐š๐ฌ๐ก๐›๐จ๐š๐ซ๐ ๐ฎ๐ฌ๐ข๐ง๐  ๐๐จ๐๐ž-๐‘๐„๐ƒ, ๐ˆ๐ง๐Ÿ๐ฅ๐ฎ๐ฑ๐ƒ๐ & ๐†๐ซ๐š๐Ÿ๐š๐ง๐š

July 2025

A real-time IoT data pipeline and monitoring system designed using MQTT protocol, Node-RED for event flow control, InfluxDB for time-series storage, and Grafana for live data visualization. It simulates smart home environment data (Temperature, Humidity) using Python and provides a modular setup for scalable IoT solutions.



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