PackInspect is a low-code visual inspection tool built using TensorFlow and Streamlit. It allows users to detect defects in bottle images (or similar packaging components) by uploading images or capturing them via webcam.

Streamlit component for TensorBoard, TensorFlow's visualization toolkit

A Streamlit demo demonstrating the Deep Dream technique. Adapted from the TensorFlow Deep Dream tutorial.

Web App for Plant Disease Detection using Tensorflow and streamlit

TensorFlow Serving + Streamlit! :sparkles::framed_picture:

Developed an Intelligent AutoML Assistant using PyCaret, TensorFlow, and CrewAI that analyzes tabular datasets, compares ML and DL models, and recommends the best algorithm. A multi-agent workflow handles analysis, training, evaluation, and decision-making, with a Streamlit UI for easy dataset upload and clear, explainable results.

🌿Classify Cotton Leaf Disease Images between Fresh or Diseased using Tensorflow Transfer Learning and Deploy it using a flask web server and Streamlit.🍂

Dog breed classification web app built with Streamlit and TensorFlow. Upload a dog image and get predicted breed using a trained CNN model.

🍎 Fruit & vegetable image classifier using TensorFlow CNN. 18 categories, Streamlit web app, Jupyter training notebooks, modular Python code. Learn computer vision & deep learning. Automated preprocessing, metrics visualization, easy deployment. Educational ML project with clean architecture.

A basic web-app for image classification using Streamlit and Tensorflow

AI & Real Image Detector is an intelligent deep learning web app that classifies images as either REAL or AI-generated (DeepFake). Built with TensorFlow and Streamlit, the application leverages a pre-trained Convolutional Neural Network (CNN) to identify subtle patterns and artifacts typically found in AI-generated images.

Deep learning model for pneumonia detection in chest X-rays using TensorFlow and Streamlit

TensorFlow implementation of a DCGAN to generate CryptoPunks + Gradio and Streamlit apps

Hand Gesture Recognition and Modification was based on transfer learning Inception v3 model using Keras with Tensorflow backend trained on 4 classes - rock, paper, scissors, and nothing hand signs. The final trained model resulted in an accuracy of 97.05%. The model was deployed using Streamlit on Heroku Paas.

Streamlit Web Interface for Handwritten Text Recognition (HTR), Optical Character Recognition (OCR) implemented with TensorFlow and trained on the IAM off-line HTR dataset. The model takes images of single words or text lines (multiple words) as input and outputs the recognized text.

Using OpenCV, tensorflow/keras, computer vision, deep learing and Streamlit. Make it react

Musition: Real-time emotion-driven music recommendations system using AI and deep learning. Automated facial and hand gesture data collection and emotion recognition training, reducing manual work by 50%. Tech stack: Streamlit-WebRTC, OpenCV/MediaPipe, TensorFlow/Keras, NumPy, Python, JavaScript.

Python script to train a classification TensorFlow model, and a streamlit app to use the model.

Landmark recognition app is used to predict lankmark name from given image created using Pillow, tensorflow, numpy, pandas and streamlit python packages.

gpt-intuition is a streamlit-based embedding visualization tool designed to help ML practitioners gain intuition into how their data maps into embedding spaces. Inspired by Google's tensorflow projector.

:sunrise: Neural Style Transfer Streamlit app with Keras & Tensorflow

Vegetable Classification & Detection, a web-based tool, leverages Streamlit, TensorFlow, and OpenCV. It employs CNN and YOLO models to classify and detect vegetables from images and live feeds, benefiting agriculture and food processing with accurate identification & detection tasks.

Medical Image Diagnosis Assistant is a Streamlit-based deep learning web app that analyzes uploaded medical images (like X-rays, CT scans, etc.) to assist in detecting diseases. It uses TensorFlow/Keras models for prediction and Grad-CAM visualization to highlight which parts of the image the AI focused on.

Corn leaf diseases detection App built with Tensorflow, Keras and Streamlit

Face mask detector app with Python, OpenCV, Tensorflow. Deployed this app with streamlit

🖼️ Painting style/art movement classification and feature visualization. Implemented in Tensorflow and wrapped into app with Streamlit.

Sentio is a sentiment & toxicity analysis web app built with LSTM using TensorFlow and Streamlit. It classifies text comments as Positive, Negative, or Neutral and detects Toxic content in the comments, perfect for analyzing reviews, social media posts, or feedback

This project predicts COVID-19 stats for states using an LSTM model with TensorFlow/Keras. Streamlit enables easy input of state and future date for predictions on confirmed cases, recovery, and deaths. Integrating Tableau enhances data insights through dynamic visualizations, creating a comprehensive tool for users.

**NutriPlan AI** is a meal planning app that combines food image detection, calorie prediction, and personalized meal suggestions. Using TensorFlow for image analysis and Anthropic Claude AI for creative meal descriptions, it provides balanced meal plans based on user preferences and dietary needs, all through an intuitive Streamlit interface.

NFT Explorer and Price Predictor A comprehensive tool that allows users to explore NFT data, predict NFT prices using machine learning models (Linear Regression, KNN, and LSTM), and visually analyze the NFT market. Built using Streamlit, TensorFlow, and Plotly. Dive into the world of NFTs with insightful predictions and interactive charts!