Project Details:
AI Assistant Project Scope
- In-depth evaluation of the client’s MVP and trading data to understand specific needs and opportunities.
- Development of a tailored AI model architecture optimized for the client’s market niche.
- Training and implementation of the self-learning AI model for robust performance and continuous improvement.
- Integration of the AI model with the existing MVP platform.
- Ongoing support and maintenance to ensure the AI model’s effectiveness.
Target Group: Newer Traders Seeking Guidance
Novice Investors: Individuals who are new to trading and want guidance in making informed decisions. The AI could provide recommendations and insights based on market data.
Passive Investors Seeking Active Management: Investors who traditionally avoid active management but are interested in a data-driven approach to potentially improve returns.
Why choose HUSPI?
- We have meticulously analyzed the project requirements and possess the expertise to develop a precise estimate.
- Our proposal outlines a comprehensive roadmap for constructing and integrating the AI model, ensuring cost transparency and seamless implementation. We are confident in our ability to deliver a solution that exceeds expectations.
Technology Stack
- Data Acquisition & Management:
- Data Storage: GCP / AWS / Azure
- Data Processing & Engineering: Python libraries like Pandas, NumPy, and libraries for data cleaning and manipulation (e.g., scikit-learn) to prepare the data for AI model training.
- AI Model Development & Training:
- Programming Language: Python
- Machine Learning Framework: TensorFlow
- Deep Learning Library: Keras
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