This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods".
A Image Classifier which uses InceptionV3 model for multiclassification by Training the Last Layer of the Model with custom Images.
A artificial intelligence project which detects the fire and smoke before the accident causing huge loses. The work depicts the techniques like object detection, which are in todays world taking great heights. A proposal to a new method based on a deep learning approach, which uses a convolutional neural network that employs dilated convolutions...
Implementation of Image Captioning Model using CNNs and LSTMs
The accumulation of dust, snow, bird drops etc. on the surface of solar panels reduces the efficiency of the solar modules and hence the amount of produced energy. Monitoring and cleaning solar panels is a crucial task, hence developing an optimal procedure to monitor and clean these panels is very important in order to increase modules efficiency.
A Flower Classification Project using pre trained model - InceptionV3 with 78 % accuracy which classifies five different types of flowers.
Transfer Learning Method is used to detect whether it is cat or dog.
ios app using CoreML , Training model : Inceptionv3
Deep learning model for Chest X-Ray (CXR) binary classification using InceptionV3. Features optimal threshold selection (0.45) for maximizing clinical Sensitivity and minimizing False Negatives. Includes a Streamlit deployment app.
Advanced deepfake detection using InceptionV3 with a novel Fourier Attention layer. Leverages FFT to detect synthetic video frames. Features robust data pipeline, EDA, and visualizations. Built with TensorFlow, OpenCV, and more. Scalable, interpretable, MIT-licensed.
A smart crop disease detection system using image processing and a machine learning model to classify crop conditions from uploaded images. It provides users with disease diagnosis and relevant suggestions for treatment.
This is a project for the udacity nano degree on neural networks and this involves a dog breed classifier using CNN.
πΌοΈ Generate descriptive captions for images using a CNN-LSTM model, combining computer vision and NLP for effective storytelling.
An iOS app used to detect whether the image captured is of Hotdog or not.
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