Lightning is a dangerous weather hazard in Bangladesh, causing over 2,100 deaths and hundreds of injuries between 2015 and 2022. This study introduces a smart prediction system that uses weather model data and artificial intelligence to forecast lightning with high accuracy. By analyzing factors like atmospheric heat, moisture, and instability, the model can identify likely strike zones up to a fine regional scale. Among several AI methods tested, one model stood out with a significantly higher accuracy rate. The research also mapped areas most affected by lightning, with Sunamganj district identified as the highest-risk zone. This system offers valuable support for early warning and disaster planning, helping protect lives and reduce damage from severe weather.