  Room-temperature (RT), on-chip deterministic generation of indistinguishable
photons coupled to photonic integrated circuits is key for quantum photonic
applications. Nevertheless, high indistinguishability (I) at RT is difficult to
obtain due to the intrinsic dephasing of most deterministic single-photon
sources (SPS). Here we present a numerical demonstration of the design and
optimization of a hybrid slot-Bragg nanophotonic cavity that achieves
theoretical near-unity I and high coupling efficiency (\b{eta}) at RT for a
variety of singlephoton emitters. Our numerical simulations predict modal
volumes in the order of 10-3 ({\lambda}/2n)3 , allowing for strong coupling of
quantum photonic emitters that can be heterogeneously integrated. We show that
high I and \b{eta} should be possible by fine-tuning the quality factor (Q)
depending on the intrinsic properties of the single-photon emitter.
Furthermore, we perform a machine learning optimization based on the
combination of a deep neural network and a genetic algorithm (GA) to further
decrease the modal volume by almost three times while relaxing the tight
dimensions of the slot width required for strong coupling. The optimized device
has a slot width of 20 nm. The design requires fabrication resolution in the
limit of the current state-ofthe-art technology. Also, the condition for high I
and \b{eta} requires a positioning accuracy of the quantum emitter at the
nanometer level. Although the proposal is not a scalable technology, it can be
suitable for experimental demonstration of single photon operation
