• Rohith Tatamsetty
• Pranav Kashyap
• Payal Singh
• Shivani Jasrotia
• K Murali

An android application with which the students can have access to certain smart services related to college like canteen orders, Lost and found, Cleanliness, Library, Bus tracking using GPS, Applying for events and placements, etc. There are canteen admin, events admin, placements admin, etc to see the placed orders, post the events information and placements information which can be seen by students respectively. There is one ML module that helps in computing feedback given by students on food and converts that feedback into the rating. All the negative and positive feedbacks of each item can be checked by canteen admin which helps them to improve the quality of the food with more negative feedback. This model was trained using the RNN algorithm. The accuracy of this model is turned out to be around 94%. This model is integrated with android using the TensorFlow Lite file converted from the Keras model.

RNN ML Algorithm, IoT software, Real- Time GPS, TensorFlowLite.

"Android Application for Smart Services in College Integrated With IOT and ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.g603-g607, May-2021, Available :http://www.jetir.org/papers/JETIR2105879.pdf

"Android Application for Smart Services in College Integrated With IOT and ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppg603-g607, May-2021, Available at : http://www.jetir.org/papers/JETIR2105879.pdf