This was developed during my internship at Giscle Systems where I was working as an AI Software Developer (Backend). While developing this project, I learned indepth about how computers can learn to see different things and recognize faces and predict other attributes. I along with my team developed and deployed the entire backend of Giscle Systems.
This was a solo project I developed while learning about Natural Language Processing (NLP). This node.js app named "Emotions" works by analysing twitter feeds about some specific topic and calculates average sentiment (emotion) of public about that topic.
This project was my first solo project after learning about Machine Learning, The system which is developed in Java is trained on thousands of spam email samples and tested with an accuracy of approximately 94%.
This project was developed as a solution to the problem of highly cluttered and functional android launchers. My android laucher only takes about 600 KB of memory in device and enhances the performance of the device by disabling all unwanted UI elements and functionalities. This launcher is perfect for lowend android devices in the market.