AI-Powered Chat Application
Muhammad Abubakar
Key Features:
Natural Language Processing (NLP):
User Profiling and Personalization:
Multi-Channel Support:
Dynamic Response Generation:
Chatbot Integration:
Real-time Translation:
Security and Privacy:
Learning and Adaptation:
Technology Stack:
Frontend: React Native or Flutter
Backend: Node.js or Python (Django/Flask)
AI/ML Framework: TensorFlow or PyTorch
NLP Library: spaCy or NLTK
Database: MongoDB or PostgreSQL
Project Timeline:
Planning and Design: 6 weeks
Development: 12 weeks
Testing and Optimization: 4 weeks
Deployment and Launch: 2 weeks
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Posted Dec 29, 2023
Creating an innovative AI-based chat application, this project focuses on enhancing user interactions through natural language processing and intelligent respon
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