With the advent of tourism, especially in India, the tendency toward homestay development increases and contributes to the cultural diplomacy of the location. This research provides a dynamic pricing model for homestay accommodations that emphasises decision-making criteria such as trust components, i.e., belief, disbelief, and uncertainty. In defining the proposed work, dynamically changing characteristics such as the Manhattan distance of a certain homestay from their district headquarters and additional features chosen and supplied to a specific consumer are explored. In addition, the concept of seasonality and the trust component lent dynamism to the suggested equation. The proposed equation is validated using the linear programming optimisation approach and graphs generated with the OLS regression technique. Our homestay model offers Chhattisgarh's tribal communities an alternative approach of financial gain.