Mobile App Projects for ME, MTech, Masters, MS abroad, and PhD students. These Mobile App ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Mobile App Projects
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DeepHealthNet Adolescent Obesity Prediction System Based on a Deep Learning Framework
This project focuses on predicting obesity in teenagers using artificial intelligence. It collects health data like height, weight, activity, and diet to make personalized predictions. The system helps teens understand their health risks and suggests timely actions. It works well even with limited daily data and gives more accurate results for both boys and girls. -
The ChAMP App A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health
This project created a mobile system called ChAMP to study children’s mental health. The system collects movement and audio data while kids do simple mood tasks. Using this data, machine learning can identify possible mental health issues with good accuracy. The tools are open-source, making it easier for researchers to study childhood mental health without needing specialized equipment. -
Mobiprox: Supporting Dynamic Approximate Computing on Mobiles
This project develops a system called Mobiprox that makes deep learning on mobile devices more flexible and efficient. It allows the model to adjust its computations depending on the situation, like how hard the input is or how much battery is left. The system saves energy while keeping almost the same accuracy. It was tested on tasks like activity recognition and voice commands on Android phones.
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