SelfEdifyAI is an autonomous learning system powered by AI, designed to expand its knowledge independently by assimilating information from various sources. This project focuses on creating a self-learning AI model capable of continuous knowledge enrichment and refinement.
Developing a self-learning AI system using neural networks to autonomously expand its knowledge by learning from various internet sources, texts, and educational materials.
- Autonomous Learning: Capable of extracting and learning new information from diverse resources like texts, articles, and websites.
- Resource Analysis and Evaluation: Ability to identify credible and relevant resources aligned with the subject matter for learning.
- Continuous Knowledge Update: Capability to update and refine existing knowledge using newly acquired information.
- Appropriate Database: Gathering and maintaining data relevant to various subjects.
- Learning Algorithms: Implementing deep learning algorithms such as neural networks using TensorFlow or PyTorch.
- Data Search and Analysis Module: Examining and selecting suitable sources for learning.
- User Interface Design: Utilizing frameworks like Flask or Django to design a user-friendly interface facilitating user-system interaction.
- Implementation of Learning Algorithms: Choosing and implementing neural networks using TensorFlow or PyTorch.
- Development of Data Search and Analysis Module: For investigating and choosing appropriate learning sources.
- User Interface Design: Employing HTML/CSS/JavaScript or frameworks like React or Vue.js for an aesthetically pleasing and functional user interface.