Customization of Emojis from real-time facial pictures is an alarming trend in personalization of applications. The real-time facial pictures captured containing salient facial landmarks are the candidates for personalized emojis. There are many ways to display emoji language cues. As personalized emojis have become popular forms of communication, existing solutions are in dearth of customization options. A new approach that uses facial landmarks captured by Python and combines them with a facial rig in Unity to create dynamic emojis is proposed. Our approach includes: (1) using Python libraries such as OpenCV or Media Pipe, capture facial landmarks, (2) exporting landmark information to Unity, and (3) dynamically creating a predefined front rig in Unity based on the locations of the received landmarks. The proposed framework allows users to create real-time facial expression emojis, increasing the emotional implications of digital communication. Our findings highlight the potential of this approach in terms of emojis visibility and the ability to customize interactive media. This research helps automate the human-computer interaction by providing a creative framework for creating dynamic emojis for the user.