Post by Samiksha Thakre

💡 Project : AI & Deep Learning I’m happy to share one of my academic projects where we explored the application of Deep Learning and Computer Vision in the healthcare domain. 🔹 Project Title: Predicting Digestive Health Through Tongue Analysis Using Deep Learning 🔹 Project Overview: This project focuses on a non-invasive AI-based approach to analyze tongue images and predict digestive health conditions. The system extracts visual features such as white coating, cracks, red spots, and color variations, and processes them using a CNN-based deep learning model. 📊 Model Performance & Results: • Final Test Accuracy: 89.04% • Training Accuracy: 91.73% • Validation Accuracy: 88.35% • Training Loss: ~0.31 • Validation Loss: ~0.42 The close alignment between training and validation metrics indicates stable learning and good generalization. 💡Technologies Used: • Python • Deep Learning (CNN) • VGG16 / MobileNetV2 • Machine Learning • Computer Vision (OpenCV) • Streamlit and Web Application 👩‍💻 Team Members: • Samiksha Thakre • Vishakha Anmulwar • Sandhya Badwaik • Om Naktode • Shriram Karve • Rajat Bombatkar 🙏 Guidance & Support: Project Guide: Dr. Swati Kale Project Co-Guide: Dr. Shamama Firdaus Project Coordinator: Dr. Priyanka G. Jaiswal Thank you for your invaluable guidance, encouragement, and continuous support throughout this project. 💡 Learning Experience: This project involved experimenting with CNN architectures, tuning hyperparameters, handling real-world image data, and evaluating performance using accuracy and loss metrics. It strengthened our understanding of AI workflows, teamwork, and real-world problem solving. Grateful for the opportunity to learn, collaborate, and build meaningful AI solutions 🚀 #Project #ArtificialIntelligence #MachineLearning #DeepLearning #ComputerVision #HealthcareAI #Python #TeamWork