-22b9b34417bc6092a743bab 20220210013516640 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 01 30 2022 11 3 Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of Technology, Pune (Maharashtra), India. Abhay Chopde Anuradha Lohar Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of Technology, Pune (Maharashtra), India. Mitul Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of Technology, Pune (Maharashtra), India. Swaraj Mane Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of Technology, Pune (Maharashtra), India. Shaurya Mhaske Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of Technology, Pune (Maharashtra), India. Expression of humans has a very crucial role in determining the present state and the mood of a person. It helps in the extraction of the emotion by understanding the different features of the face like cheeks, forehead, eyes, or maybe the curvature of the smile. Music plays a crucial role in the daily lifestyle. It is essentially a kind of thing that soothes and calms the body, brain and soul of a human. During this fast-paced lifestyle, everyone goes through a roller coaster of emotions and changes in moods within seconds. People tend to listen to music according to their emotions. Hence, we have chosen emotion and music and combined them together. Our program will first detect facial expressions and using that it will recognize the emotion of a human being. This is done through counting of repeated integers in a trained model and playing music favorable with the mood detected. This will alleviate the mood or just calm the individual. It may also be able to fetch quicker songs consistent with the mood, saving time looking up for different songs. Parallelly developing a software which will be used anywhere with the assistance of providing the functionality of playing music consistent with the emotion detected. People tend to concentrate on songs consistent with their moods, and it feels very frustrating if a tragic song starts playing when you are happy. It seems like a burden to constantly visit the music application to vary the song. Therefore, in this work, we've come up with a solution in which we will use computer vision to detect the emotion of an individual and therefore the system shall play a song consistent with the mood of the client. 01 30 2022 59 64 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9761.0111322 https://www.ijitee.org/portfolio-item/c97610211322/ Department of E & TC Engineering, Vishwakarma Institute of Technology, Pune, India. Abhay Chopde Prashik Sadar Department of E & TC Engineering, Vishwakarma Institute of Technology, Pune, India. Ashutosh Sabale Department of E & TC Engineering, Vishwakarma Institute of Technology, Pune, India. Piyush Thite Department of E & TC Engineering, Vishwakarma Institute of Technology, Pune, India. Raghvendra Zarkar Department of E & TC Engineering, Vishwakarma Institute of Technology, Pune, India Low Noise Amplifier (LNA) is the most important front-end block of the receiver. LNA’s Noise figure (NF) and Scattering Parameters affect the overall performance of the whole receiver circuit. Nowadays in the era of 5G technology, The quality of data that is being transmitted is increased. So there is a need for higher bandwidth to transfer data with higher speed. In such a case, communication blocks need an update. The research is carried out for the advancement of the LNA. The primary goal of LNA design is to lower the Noise Figure and return losses. The paper aims to design a 2.4 GHz LNA having a bandwidth of 400 MHz. The circuit is designed with the help of single-stub microstrip lines. We tried to keep the length of microstrip lines as minimum as possible. The transistor ATF-21170 Gallium Arsenide Field Effect Transistor (GaAs FET) is used in this work. The circuit is simulated in the Keysight Advance Design System (ADS). The amplifier is manually designed using standard methods. LNA is unconditionally stable for the frequency range of 2.2 GHz to 2.6 GHz. To build impedance matching circuits of the amplifier smith chart is used. It is observed that the LNA gain (S21) is greater than 15.3 dB, NF less than 1.2 dB, Input return loss (S11) is less than -13.3 dB, Output return loss (S22) is less than -17.1 dB over the 400 MHz bandwidth ranging from 2.2 to 2.6 GHz. This has, to the best of the authors' knowledge, not been presented in literature before. 01 30 2022 65 69 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9760.0111322 https://www.ijitee.org/portfolio-item/c97600211322/