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How to Develop an Image Classification Web App Using Multiple Deep Learning Models?
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🧠 Medical Image Classifier using Streamlit | Brain Tumor & Chest X-Ray Detection
In this video, we build a Medical Image Classifier Web App using Streamlit and TensorFlow.
The app allows you to classify:
🧠 Brain Tumor (Tumor / No Tumor)
🫁 Chest X-Ray (Pneumonia / Normal)
You’ll learn how to create a beautiful interface with image upload, model selection, and real-time predictions with confidence scores.
🔗 GitHub Repository:
🔧 Tech Stack:
Streamlit for the web UI
TensorFlow (Keras) for model loading & inference
PIL and NumPy for image processing
Custom trained .keras models
✅ Don't forget to:
👍 Like
💬 Comment
🔔 Subscribe
📢 Share with friends!
📌 Hashtags:
#Streamlit #MedicalAI #DeepLearning #TensorFlow #BrainTumor #PneumoniaDetection #ChestXray #ImageClassification #PythonProject #AIInHealthcare
In this video, we build a Medical Image Classifier Web App using Streamlit and TensorFlow.
The app allows you to classify:
🧠 Brain Tumor (Tumor / No Tumor)
🫁 Chest X-Ray (Pneumonia / Normal)
You’ll learn how to create a beautiful interface with image upload, model selection, and real-time predictions with confidence scores.
🔗 GitHub Repository:
🔧 Tech Stack:
Streamlit for the web UI
TensorFlow (Keras) for model loading & inference
PIL and NumPy for image processing
Custom trained .keras models
✅ Don't forget to:
👍 Like
💬 Comment
🔔 Subscribe
📢 Share with friends!
📌 Hashtags:
#Streamlit #MedicalAI #DeepLearning #TensorFlow #BrainTumor #PneumoniaDetection #ChestXray #ImageClassification #PythonProject #AIInHealthcare
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