An energetic Machine Learning practitioner and AI Researcher, passionate about cutting-edge technology and solving real world problems.
A FOOD DETECTION app made in python flask which can detect food by providing any image of it. It can detect upto 59 selective classes of food on which the algorithm is trained on. We use Yolo-V4 to detect images. This website is hosted using Cloud Run of Google Cloud Platform and you can check this out at yolo.thefoodinspector.in.
We handle this problem in two different ways - classification & regression. For the classification problem we predict 3 minutes into the future that weather the price of the currency will go up or not.
For the regression problem we take a windiw of 40 days or 60 days to predict the price for the next day using LSTM model.
Created chatbot for MizzleCodes and SwaParichay Studios using IBM WATSON to provide smooth interaction with the traffic on their websites. You can check them at https://mizzlecodes.com/ and https://swaparichaystudios.com/.
Also created one for my Portfolio, check at the bottom right corner.
Trained a Generative Adversarial Network on 62K+ images and collected the generated images of anime faces at every 100 step. The output images gives a good idea of how the anime character looks.
