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I am currently doing my clg project on "Time series data classification using transformer models". the dataset is based on patient temperature data. where our project goal is to classify patients to their respective disease based on only temperature

I recently thought of creating a deep learning project for my college which gets graded and I realised that there is a huge scarcity of good quality datasets for the projects currently. Like the project I have selected doesn't have a solid proper dat

Hello Friends, I’ve been diving deep into Retrieval-Augmented Generation (RAG) and its evolved form — Agentic RAG — lately, and I’m genuinely curious about how others are thinking about it. I’d love to hear your ideas, interesting use cases, or eve

Hello everyone day 12/100 Today’s Study Update 📊 • Learned data assessing concepts • Wrote dataset summary and overview • Documented descriptions for all columns • Checked sample data manually to understand patterns • Performed both manual and auto

Learn how to build a RAG application (!) using @eyelevelai with its super solid ETL pipeline for performing RAG on complex docs (!!) using @GroqInc for fast AI inference (!!!) and expose your local @FastAPI server over the internet via @ngrokHQ h

TrafficMine Project Updates: Day2 :) Built a basic dashboard for adding projects. Added logic to scrape project logos from favicons. Designed a script users can integrate into their apps to send visitor data to the backend for tracking. Created and

I'm hiring for part-time Next JS Developers, Node JS Developers, RAG Developers, Technical Project Managers for my agency Vivid Mynd Technologies. Interested ones can comment in the post.

Hello everyone Today'd update Day 8/100 • Worked on a mini Zomato project • Performed basic data analysis on the dataset • Explored insights using Python • Created visualizations using Matplotlib • Revised important NumPy concepts and functions Focu