The document proposes developing an artificial neural network model using a multi-layer feedforward neural network and backpropagation learning algorithm to more accurately estimate software development effort. The model is trained and tested on the COCOMO dataset using nine different training algorithms. Preliminary results found the neural network model improved estimation accuracy over the COCOMO model, suggesting it could accurately forecast software effort. Key performance metrics like mean squared error and regression analysis were used to evaluate the model.