Detection of brain tumours is a major health challenge that needs to be diagnosed quickly and precisely to provide timely and effective treatment. The consequences of delayed or inaccurate identification are stark but raise the demand for improved diagnostics. In our work, "Detection of Brain Tumour using MRI Scan," we utilize Machine Learning algorithms to process the MRI images and identify tumours accurately. The solution we developed is in the form of a user-friendly android app for accessibility to users, allowing users like medical professionals and patients to connect. Our system reduces dependency on manual interpretation by automating the diagnostic process, ensuring results are both faster, more accurate and reliable. This creates a systematic, numerical model of how we can immerse in technology while simultaneously adding manual intelligence as a safety measure a counterbalancing effect and an essential combination creating the premise for successful healthcare.