| 1 |
Machine Learning Approaches For EV Battery And Route Optimization |
Electric vehicles (EVs) are vital for reducing carbon emissions. This project develops an integrated system using machine learning and real-time data to optimize battery usage and route efficiency. Proximal Policy Optimization (PPO) is applied for dynamic battery management, while a modified A* algorithm considers traffic, road quality, terrain, and weather to ensure optimal energy consumption and travel efficiency. |
Paper presented in an IEEE International Conference on Computer Electronics and Electrical Engineering and their Applications (IC2E3-2025). |
Addresses challenges faced by EV manufacturers and fleet operators. Enhances battery lifespan, reduces costs, improves reliability, supports smart transportation systems, and aligns with Industry 4.0 and smart city initiatives. |
| 2 |
Personalized Medical Recommendation System using Machine Learning |
The Medicine Recommendation System (MRS) uses AI, ML, and big data analytics to provide personalized medication recommendations based on patient health conditions, symptoms, and medical history, reducing medical errors and improving decision-making. |
IEEE International Conference on Recent Trends in Intelligent Computing and Communication (ICRTICC-2025). |
Highly relevant to healthcare and pharmaceutical industries. Supports evidence-based treatments, reduces diagnostic errors, improves patient outcomes, and integrates with modern digital healthcare systems. |
| 3 |
Voice Assistants using Artificial Intelligence |
This project explores advancements in AI and NLP driving voice assistants, their underlying technologies, user experience impact, and future role in transforming human–computer interaction. |
IEEE International Conference on Recent Trends in Intelligent Computing and Communication (ICRTICC-2025). |
Applicable across consumer electronics, healthcare, finance, retail, and smart home sectors. Improves customer engagement, automation, accessibility, and operational efficiency. |
| 4 |
A Deep Analysis of AI Impact on Oncology Study |
This study reviews AI applications in oncology, including cancer screening, diagnosis, prognosis, and treatment planning. It discusses FDA-approved AI tools and their role in precision medicine for breast, lung, and prostate cancers. |
IEEE International Conference on Recent Trends in Intelligent Computing and Communication (ICRTICC-2025). |
Strong relevance for healthcare providers, pharmaceutical companies, and medical device manufacturers. Improves diagnostic accuracy, clinical workflows, drug discovery, and patient outcomes. |
| 5 |
Artificial Intelligence Based Skin Cancer Detection |
This research analyzes social media data using pre-trained language models to automatically identify mental health-related states, supporting early diagnosis and integration into mental health monitoring systems. |
IEEE International Conference on Recent Trends in Intelligent Computing and Communication (ICRTICC-2025). |
Relevant to digital healthcare, mental health platforms, telemedicine, and public health monitoring. Enables early detection, reduces risks, improves treatment outcomes, and lowers healthcare costs. |