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)