presents

Artificial ​Intelligence

New Era New Technology

01

problem

The vast majiority of people find it difficult to achieve their ​personal and professional goals due to lack of access to a ​personal mentor. In today's fast-paced world, many people ​cannot afford to pay for a personal mentor. This leaves ​them without support, feedback and direction in their self- ​improvement process.

The following challenges arise when learning online on ​your own:

- Lack of Feedback:

- Information Noise:

- Lack of Personalization:

1

Material through Reality Filter

The DJINN project implements a ​reality filter to process training ​material. This filter eliminates ​myths and perceptions, ensuring ​that information is accurate and ​reliable. It also supports ​accessibility, as the chatbot is ​always available at the user's ​convenience.

solution ​2

Generating Unique Material

Djinn provides unique material that ​adapts to the user's goals and ​provides a personalized experience. ​This material costs significantly less ​than a regular mentor, making ​personalized learning more ​affordable.

3

Personalized Process Management ​The Djinn chatbot is not just an ​information provider, but an active ​participant in guiding the user ​through the process. The system ​maintains accessibility and ​disciplines the learner to help them ​achieve their goals.

2

Project ​Architecture

Technology Stack

The project shell is designed as ​a chat bot of Telegram ​messenger. Our project is built ​using the following technologies ​and programming languages: ​Python, C++, JavaScript and ​others.

Djinn synthesizes both in- ​house AI developments, ​ongoing since 2002 and acting ​as the core of the project, and ​popular ones such as chat GPT

2

Project ​Architecture

Technology Stack

The project shell is designed as ​a chat bot of Telegram ​messenger. Our project is built ​using the following technologies ​and programming languages: ​Python, C++, JavaScript and ​others.

Djinn synthesizes both in- ​house AI developments, ​ongoing since 2002 and acting ​as the core of the project, and ​popular ones such as chat GPT

Our ​Mission

Our mission is to bring ​civilization to a qualitatively new ​level of development, social ​interaction, understanding of ​the structure of the human mind ​and social processes and to use ​the power of artificial ​intelligence to improve the ​quality of life, education and ​personal development, making it ​individual and effective

Goals

Provide social ​elevators ​regardless of ​the position ​held

Provide greater ​financial and ​mental

freedom to ​users

Build ​qualitatively ​new products ​of social ​interaction

Goals

To reveal the origin and ​evolution of human ​language, the first sciences ​(mathematics, geometry, ​physics, etc.), religion and ​their relation to the ​structure of the mind

Reduce social ​tension, ​demonstrate the ​commonality of ​the mechanism of ​thought

formation.

Provide an opportunity for ​faster and more effective ​transformation of the ​personality despite the ​factors that have shaped ​the neural connections of ​the person, to the tasks at ​hand.

Goals

Increase ​motivation to ​learn through ​interactive ​methods.

To oen up the ​prospect of rapid ​and effective ​personal ​transformation ​meeting the goals ​set

Increasing ​longavity by ​providing a new ​perspective on ​metabolism and ​biochemical ​processes

Our key development milestones ​include building a prototype bot, ​launching an alpha version with ​basic functionality, conducting ​testing with a limited audience, ​launching a beta version with ​improved AI and functionality, and ​then releasing the full version.

We have now successfully ​completed the prototyping phase ​MVP and are in the process of ​launching the alpha version of ​Djinn 0.1 light version.

Development Plans

·New Functionality:

o It is planned to introduce functionality that allows personalized learning, improve user analysis ​algorithms and introduce the issuance of user statistics, individual advice and predictions (Djinn ​1.0).

o Implementation of the module framework (structure) of events (Djinn 1.0)

o Implementation of the Relationship Framework module (Djinn 1.0)

o Implementation of a dating module based on partner selection using the developed algorithm ​"84 elements" (Djinn 1.0).

o Implementation of the module for building corporate and state management structure ​according to the "22 elements" algorithm (Djinn 1.0).

o Messenger plugin for analyzing user's correspondence and communication with other ​interlocutors (Djinn 2.0)

o API Provisioning (Djinn 2.0)

o Integration with AR devices, game consoles, smart home (Djinn 2.0)

· Expanding the Ecosystem:

o We seek partnerships with innovative platforms and are also looking at integrating with other ​projects.

ROAD MAP 2024

Q1

Q2

DJINN 0.1 (Light version) ​Token leasting

MVP, SEED

Q4

Djinn 1.0

2025

Djinn 2.0

Total amount of tokens: ​35,831,808

Seed price: 0,18 usd ​Tokensales price: 1 usd ​Vesting 10% per month for ​10 month

InvestorsTeam, founders, marketmaker ​Tokensales Advisors Ecosystem Reservs

Investors

Reservs

8%

14%

Team, founders, m ​23.4%

Tokensales

1.4%

Advisors

5.7%

Ecosystem ​47.4%

Token usage

01

Payment ​for services

03

Exclusive access ​to content

02

Increasing levels ​for participations ​and bonuses

04

Participation in ​voting

Token usage

05

Achievement ​Bonuses

07

Access to ​forecasts

06

Access user ​statitistics, ​personal ​advertising

08

Creating user ​digital clone

ceo.djinn@gmail.com ​@djinn_official (telegram)

ARE YOU READY TO MAKE A WISH?

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