PassionBytes MinIO Anand Babu Periasamy Garima Kapoor Ph.D Harshavardhana Whether Its an AI use case or not, #MinIO serves your needs. Since its inception, we are marching with it. THanks Nitesh Prajapati for the post.
?? Building a Q&A-Enabled Streamlit App with MinIO and Local Storage ?? ?? Data-driven decision-making is more powerful when insights are accessible and interactive. That’s why I built a Streamlit app that allows users to upload CSV files from both local storage and MinIO buckets and then ask questions based on the data! ?? What This App Can Do: ? Seamless File Selection – Upload CSV files from local storage or MinIO. ? Real-Time Data Processing – Instantly load and display the dataset. ? Natural Language Q&A – Ask questions, and the app extracts relevant insights from your data. ? Effortless Integration – Powered by Streamlit, making it lightweight and interactive. ?? Why This Matters? This solution is ideal for teams handling large datasets and looking for quick insights without complex SQL queries. Whether you're an analyst, developer, or business user—just upload, ask, and analyze! ?? Here’s a sneak peek of the app in action! ?? Curious to know how it works? Let’s connect! ?? #Streamlit #DataAnalytics #MinIO #MachineLearning #Python #QandA #CSV #AI #FullStackDevelopment PassionBytes Vedika Patil Shraddha Chopade Sneha Salvi