Fintech AI
LANCER
Lancer:
<= 2 resources OR <=3 weeks effort OR <=$3000 USD
Growth:2 - 4 resources AND upto 4 months OR
upto $30000 USD
Enterprise:Everything else
(Development)
Project Description
Fintech AI delivers a dynamic platform that uses machine learning to detect financial anomalies, helping businesses safeguard data integrity. The client approached Oodles Platform to refine their existing system, improve performance, and fix critical bugs affecting data evaluation. The services focused on enhancing ML models and optimizing the Django framework.
Scope Of Work
The project aimed to boost the system’s anomaly detection accuracy and resolve functional bugs impacting performance. Work involved refining machine learning algorithms, strengthening Django workflows, and ensuring smooth financial data analysis. The focus was to deliver a robust and efficient platform tailored to the client’s evolving business needs.
Our Solution
The approach started with a detailed analysis of the platform’s machine learning modules and Django framework integrations. Specific gaps affecting the anomaly detection process were identified and addressed by improving algorithm efficiency and reworking data pipelines. By updating the ML models and resolving structural bugs, the platform’s accuracy and speed increased significantly. Python and Django were used as the core technologies to maintain flexibility and ensure seamless data handling. Through continuous improvements and real-time system checks, the financial evaluation system evolved into a more reliable and performance-driven platform, strengthening the client’s ability to offer secure, data-driven insights.