Android: mobilenet_v1_1.0_224.tflite model doesn't return bounding box information

I am using https://github.com/anupamchugh/AndroidTfLiteCameraX source code to learn about integrating the TFLite model with Android. I have labels.txt with all the classes in the Assets folder as well.

Currently, this project returns only the prediction class. I want to retrieve the bounding box along with it.

   private fun getMaxResult(result: FloatArray): Int {
        var probability = result[0]
        var index = 0
        for (i in result.indices) {
            if (probability < result[i]) {
                probability = result[i]
                index = i
            }
        }
        return index
    }


    private fun classify(bitmap: Bitmap): String {

        check(isInitialized) { "TF Lite Interpreter is not initialized yet." }
        val resizedImage =
            Bitmap.createScaledBitmap(bitmap, inputImageWidth, inputImageHeight, true)

        val byteBuffer = convertBitmapToByteBuffer(resizedImage)

        val output = Array(1) { FloatArray(labels.size) }
        val startTime = SystemClock.uptimeMillis()
        interpreter?.run(byteBuffer, output)
        val endTime = SystemClock.uptimeMillis()

        var inferenceTime = endTime - startTime
        var index = getMaxResult(output[0])
        var result = "Prediction is ${labels[index]}\nInference Time ${inferenceTime}\""

        return result
    }

This is where the classification occurs. I don't think it returns the bounding box information, but I'm not sure. I don't have much knowledge of tflite model. To get the bounding box, do I need to use a different model? What do I do?