PROJECT QUBE

Project QUBE, is a Web app , that is build with Gemini API Key (gemini-1.5-flash) and Python Django . In this Project "Gemini API Key" is used as a Logic server for rendering out the input data's from the user, and Django is used as a backend. QUBE is a blend of both.

Live example of Project QUBE

example.of.api.2.1.mp4

Project QUBE. The front Page of QUBE Web looks like this:::

• here we have two options (currently)

1. QUBE AI

2. QUBE SOCIAL

3. QUBE AI

QUBE AI is the model that uses Gemni API key for rendering out the data. and Python Django for backend Process like pushing fetching the data to the server and back to the server

• Capabilities of QUBE AI Model

  • QUBE TEXT : Text generation from text prompt, it has also features like see the previous activity(also full responsiveness) and delete those activity.

  • QUBE IMG TEXT : Text generation from the given image as user, it has also features like see the previous activity(also full responsiveness) and delete those activity.

  • QUBE CHAT : A streamline interface where the user can chat with AI model in real time,it has also features like see the previous activity(also full responsiveness) and delete those activity.

  • QUBE VISION IMG : Another advance model of QUBE IMG TEXT , in this model ai will able to know us the detailed analysis of the image (extra part of QUBE IMG TEXT),it has also features like see the previous activity(also full responsiveness) and delete those activity.

  • QUBE VISION VIDEO MODEL : this model has the capability to tell the detailed analysis about any specific video file input by the user, it has also features like see the previous activity(also full responsiveness) and delete those activity.

    

  • QUBE AUDIO MODEL : it has the capability to generate the analysis of the given audio file, also have the capability to generate a series of questions from the input files.it has also features like see the previous activity(also full responsiveness) and delete those activity.

    

  • QUBE CODE : this model is capable of generating code of the given code prompt,it has also features like see the previous activity(also full responsiveness) and delete those activity.

    

  *QUBE PREDICT MODEL: this model is entirely built upon python scikit-learn and the concept and program of Linear Regression, the user can send charts like csv , xl file and command to generate a graph for future predcition between any two columns, the model will generate that graph using Linear Regression and also output the future predictable output result

  

2.QUBE SOCIAL

QUBE SOCIAL model is build on the packages of django, it is a kind of multi user platfrom for chatting and talking ( inspiration Denis Ivy @divanov11, Traversy Media)

• Capabilities of QUBE SOCIAL

  • QUBE SOCIAL : this sole model has the capability like a chat server, many to one and one to many user, user can create their rooms, delete their rooms, message to room, delete their messages, the detailed expression of the entire QUBE SOCIAL/QUBE Community model has been given below

• Front page of qube social web, it has fecilities like sending voice message, sending text messgae, sending video message

  • 

*individual profiles of the respective user

*Individual Room View

*Delete community Room Fecility

*Edit community room facility

That's all, Apologise for frontend, enjoy the backend till then stay tuned