Build your first LLM powered app with Langchain and Streamlit.

1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock. 2. Then we use machine learning LSTM technique to predict the future stock price and at last create an interactive web-app using Streamlit in python.

An end-to-end ML app simulating loan evaluation using a two-stage model: approve/reject first, then predict optimal loan amount for approved users. Covers notebooks to modular code, YAML configs, and Streamlit Cloud deployment.

Explainable AI for Pneumonia Detection from Chest X-rays. Fast Streamlit app with GradCAM visualizations, human-in-the-loop feedback and retraining, batch processing, audit logging, and full Docker support. Privacy-first, clinically inspired, and ready for research, demo, or hospital use.

My first RAG question-answering app that answers questions based on files uploaded. The app has been deployed on streamlit

First XGB Model and Streamlit App

Application streamlit de Flipkart Smartphones

Built a Convolutional Neural Network from first principles using NumPy to understand internals (conv, pooling, softmax). Trained a high-accuracy CNN using TensorFlow and integrated it into a Streamlit app for real-time handwritten digit recognition.

A Streamlit-based web app that takes a YouTube video URL, fetches its transcript, and detcts the spoken language. If the transcript is in any language other than English, it is first translated into English using a multilingual translation model. The translated text is then sent to a large language model (LLM) for summarization.

This repo is having the codes to deploy my first app on Streamlit

Streamlit application that connects to an existing API and a DB (example derived from ESS-DABW Snowflake workshop)

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My first interactive web app with Streamlit for salary prediction!

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Repo for my first Streamlit App.

A simple first app made using Streamlit

My first streamlit web app . A Stock price forecast App in which i used LSTM ARIMA XGBOOST models

A content-based movie recommendation system using machine learning and Streamlit — my first ML project! Includes model training in Jupyter Notebook and a working web app.

A growing collection of tools built around OpenAI's services, including GPT-4 and Whisper, all housed in a multi-page Streamlit app. The first tool is a video summarizer for YouTube and Vimeo videos.

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This is a first test of a Streamlit app for SEO.

first_streamlit_app

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Streamlit App to be used in the Snowflake DABW course.

Streamlit + Snowflake + Rivery Application

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My Streamlit app , I am going to build in the Snowflake DABW Course

Streamlit app for Snowflake DABW course