TY  - JOUR
AU  - Mohammad Parveen Begum
AU  - R. Swathi
AU  - R. Yasaswi
AU  - Shaik Khasimbi
AU  - Shaik Madarbee
AU  - T. Pragathi
PY  - 2026
DA  - 2026/03/15
TI  - AI-Based Intelligent Investment Safety & Fraud Detection System
JO  - Global Journal of Engineering Innovations and Interdisciplinary Research
VL  - 6
IS  - 3
AB  - This paper presents an AI-based Investment Safety Application developed to support users in making
secure and informed financial decisions. The system integrates investment education, verified company
information, real-time insights, and fraud detection into a single unified platform. It simplifies financial
concepts such as stocks, mutual funds, and gold through beginner-friendly AI-supported explanations.
The application analyzes URLs, company profiles, and suspicious investment schemes to identify
potential risks using intelligent pattern recognition. Users also receive guidance toward safer and more
trusted investment platforms. Real-time alerts, risk notifications, and market updates help users stay
aware of ongoing changes. By combining AI analytics, fraud prevention, and continuous education, the
proposed system improves investor confidence and reduces exposure to online financial scams.
SN  - 3066-1226
UR  - https://dx.doi.org/10.33425/3066-1226.1264
DO  - 10.33425/3066-1226.1264