-Machine learning project on analysis of data and finding the predictions.
-The user needs to give inputs like Blood pressure, Sugar, Blood Cells, Haemoglobin, etc. to predict the result.
-Connected the back end and front end with HTML (Accuracy: 91%)
-Skills: Random Forest, Neural Networks, HTML, CSS, Flask, Python

-In this project using ML and python libraries we can predict the percentage of a heart attack here we used the KNN algorithm and many graphs to show conclusions.
-I trained my model using different algorithms like KNN, SVM, PCA, and got an accuracy of approximately 85%.

-Image analysis is used to analyze around 10 types of skin diseases. OpenCV, TensorFlow was used
-Flask is connected as a user interface; the user uploads the image and the model shows the output/ disease name (Accuracy: 91.2%)
-Skills: Convolution Neural Networks, HTML, CSS, Flask, Python

-Used to calculate the estimated profit by different previous analysis
-Users can select the city, gross capital, and some requirements
-Currently, the model is trained for 3 cities( New York, Florida, California)
-Skills: Artificial Neural Networks, HTML, CSS, Flask, Python