Jadwa AI: An Intelligent Business Feasibility Analysis System for Saudi Entrepreneurs

Jadwa AI is a web platform combining machine learning and generative AI that provides project feasibility assessment and structured recommendations for Saudi entrepreneurs. It addresses the pain points of traditional analysis, which relies on expensive consulting or personal experience—high barriers and strong subjectivity—helping drive data-informed decision-making.

Saudi Arabia is promoting economic diversification under the "Vision 2030" framework, and its startup ecosystem is thriving. However, many entrepreneurs face difficulties in objectively evaluating the feasibility of their business ideas. Traditional feasibility analysis relies on expensive consulting or personal experience, which has high barriers and strong subjectivity. As a university graduation project, Jadwa AI aims to address this pain point and apply cutting-edge AI technology to real-world business scenarios.

Jadwa AI adopts a modern web application architecture with a core dual-engine design:

• Machine Learning Module: Handles structured data analysis, integrates regression analysis, classification algorithms, etc., to evaluate quantitative indicators such as market size and competition intensity, and identifies key factors for project success;
• Generative AI Module: Generates customized business recommendation reports (risk assessment, market strategy, etc.) based on large language models. The front end uses a web technology stack, while the back end coordinates ML inference and LLM calls, and manages user sessions and data storage.

Core Functions:

1. Multi-dimensional Data Collection: Integrates public data sources to obtain industry, regional, and competitor information;
2. Intelligent Scoring Engine: Calculates feasibility scores for market, technology, finance, and other dimensions based on ML models;
3. Risk Identification and Early Warning: Automatically identifies potential risk points and classifies them;
4. Structured Report Generation: Uses generative AI to output complete reports with improvement suggestions. Applicable Scenarios: Verifying business hypotheses, preparing for financing roadshows, formulating market entry strategies, adjusting business models, etc.

• Data Quality and Accessibility: Public business data in Saudi Arabia is limited, so alternative data sources or lightweight feature engineering must be used;
• Model Interpretability: Integrate explainable AI technologies such as SHAP/LIME or use naturally interpretable models like decision trees;
• Accuracy of Generated Content: Ensure reliable and timely output through prompt engineering and Retrieval-Augmented Generation (RAG) technology.

1. Generative AI is more than chatbots: Embedding it into structured workflows can generate real business value;
2. Importance of Localized AI Applications: Vertically customized solutions targeting Saudi market-specific needs (regulations, culture, financing channels) are more precise;
3. ML+LLM Hybrid Architecture is a Mainstream Trend: Traditional ML handles structured prediction, while LLM handles unstructured content generation, leveraging their advantages collaboratively.

Jadwa AI lowers the barrier to business feasibility analysis and injects a data-driven decision-making culture into Saudi Arabia's startup ecosystem. This project demonstrates the transformation of academic knowledge into tools that solve real-world problems. With the advancement of generative AI, we look forward to more vertical applications emerging to help entrepreneurs make decisions in complex environments.