Backgrousnd In today’s fast pace, every day, more and more research is being done to automate the interview process. The remote hiring concept can drastically reduce the resources spent in the hiring process and reduce human errors or favouritism. Methods Used a hybrid approach RNN model with multiple bidirectional LSTM and Dense layers using GloVe is proposed which gives high accuracy with a modified version of CK+ dataset. Results Achieved- For facial expression recognition, we presented a bidirectional LSTM approach, which achieved an accuracy of 84%. For audio transcript analysis, we have constructed an RNN model with multiple bidirectional LSTM and Dense layers using GloVe for vectorization of words, achieving an accuracy of 92.94%. Concluding Remarks Ineview can be used to drive decisions like hiring someone or simply using job seekers to improve their interview skills. The research employs diverse datasets to elucidate the functionality of several AI models in text analysis and facial emotion recognition.