Voltage stability continue a serious concern in the Nigeria, Northern states owing to the growing power demand, with weak distribution infrastructure, and having insufficient reactive power compensation. This is making state's energy encounters so intensified by rural electrification constraints, from a changeable power supply, and this repeated voltage collapse occurrences. Underlining the margins of conventional stability assessment techniques, this studies the most serious issues that are disturbing voltage stability. The prospective of ML in response to these challenges is sightseen, aiming on its part in prognostic analytics, the feature extraction, through data-driven assessment models. A serious assessment of the existing literature exposes the condition for a tailor-made ML-based methodologies that can improve distribution network flexibility and steadiness.