Portfolio
ideas to execution
VisualQuery: From SQL to Chart generation
This project enables seamless interaction with SQL databases using natural language. Built on a Streamlit application, it leverages large language models (LLMs) to generate SQL queries based on the database schema and user input. The generated queries retrieve data, which is then parsed through Plotly to create dynamic, insightful charts Link to Live Project
DataSense: Framework for Data Quality check
DataSense is a Flask-based web framework built with Bootstrap, designed for intuitive data interaction. It allows users to seamlessly extract data from multiple databases, perform natural language queries, and conduct predefined quality checks. Leveraging generative AI, DataSense generates dynamic, insightful visualizations with Chart.js and GenAI, enabling users to effortlessly analyze and explore data trends. Link to Live Project
Insights Reporter: Statistical and Forecasting Trends
Insights Reporter is a hotel booking forecasting solution that provides stakeholders with comprehensive, 360-degree visibility into booking trends. Developed using FBProphet and BigQuery ML, it delivers precise forecasts alongside detailed statistical analyses. Results are displayed with interactive visuals via Plotly and HTML, complemented by automated email reporting for streamlined insights distribution. Link to Live Project
Technologies : Python
GCP
Forecasting
Plotly
Mail API
Deep Drive: Automobile Infotainment System
Deep Drive is an innovative infotainment system integrating news, email, music, live TV, games, food ordering, and predictive maintenance features, controlled by voice commands and enhanced by image recognition and personalized recommendations. The app is developed using Django and uses Dialogflow and other APIs to provide the services. Demo
Technologies :
Python
Django
Google BigQuery
DialogFlow
ZomatoAPI