Projects
Brain Tumor Detection
Brain Tumor Detection using convolutional neural network with Inception V3 model achieved a test accuracy of 99%. The project involved data augmentation techniques to enhance the training dataset. Additionally, brain contouring was applied to focus on the point of interest, improving the model's ability to detect tumors accurately.
Loan Eligibility Prediction
Using machine learning, this evaluates loan eligibility based on key banking metrics. Users input parameters such as loan amount, income, credit score, and property value. Predictions are generated instantly.
Image Description Generator powered by Gemini Pro Vision
Explore the power of automated image description generation with the advanced features of the GeminiAI Pro Vision API. This project demonstrates a streamlined approach to generating detailed descriptions for diverse images.
Suitable Crop Suggestion
This repository features an end-to-end machine learning project for predicting suitable crops based on soil parameters. It employs multiple ML algorithms and implements a user-friendly Django web application with an input form for soil parameters. Users can input pH level, nutrient content, and moisture to generate predictions for the most suitable crops. The prediction section of the application displays the results of the ML model, offering valuable insights for agricultural decision-making.
