anshulsingh8101/Music-App-Django

Cotton-Disease-Prediction-web_app-Transfer-learning

Using transfer learning to predict if there exists a cotton disease in the plant or not. The best were the inceptionv3 model and the ResNet50 model and then finally made a model for the web using flask for an end-to-end deployment of this project.

Tiingo-stock-using-Stacked-LSTM

Made the stock prices to be predicted from a 5 years dataset from TIINGO of APPLE company and worked on the next 30-day prediction. The final output made after applying 3 stacked layers of LSTM and a dense layer gave me a model with a rmse value of 284.

Sales-Distribution-Using-Plant-Propagation-Algorithm-P.P.A.-

CS11 SOFT COMPUTING - PROJECT, Sales Distribution Using Plant Propagation Algorithm (P.P.A.) and comparing with 4 different version of particle swarm optimization.

Flight-Fare-Web-App-with-PricePrediction

A Web App that helps to predict the price of the Airplane based on the destination date, travel day, source, destination, and which flight the user prefers. I have used the Random Forest model with hyperparameter tuning which gave me the best results for the predictions.