EaseQL
developing a web application where users can upload files (TXT, JSON, PDF, CSV), convert them into datasets, and query them using natural language using SQL Logic, MERN stack and ML model
Videos
Description
We are developing a web application where users can upload files (TXT, JSON, PDF, CSV), convert them into datasets, and query them using natural language, which will be internally translated into SQL queries to generate results.
EaseQL simplifies database interactions in education by allowing users to upload files and query them using natural language, eliminating the need for SQL expertise. It helps students, educators, and researchers analyze data effortlessly, making learning more interactive and industry-relevant.
Progress During Hackathon
Learned ML models like T5
Tech Stack
React
Node
Python
MongoDB
Express
PostgreSQL
Team Leader
UUtkarsh Trivedi
Github