AIIn today's increasingly digital financial world, more people rely on online loan applications and banking services to meet their financial needs. However, without proper planning, loans can become a financial burden that is difficult to manage. That is why I built Pintar Kredit, a web-based application that helps users analyze loan applications before submitting them to financial institutions.
Technologies Used
This application is developed using React with Vite as a build tool to ensure optimal performance. Additionally, I utilize OpenAI to provide advice based on user data, helping them understand loan eligibility and potential risks before making a decision.
Key Features
- Loan Simulation - Users can input their loan details and receive automatic calculations regarding monthly installments, interest, and total payments.
- Loan Eligibility Analysis - Based on the financial information provided, the system evaluates the likelihood of loan approval.
- Smart Advice - With the help of OpenAI, the application offers recommendations on the best loan options based on user profiles.
- Guaranteed Privacy - All calculations are performed directly in the application without storing user data.
Why Pintar Kredit?
I built this application because I noticed the increasing availability of online loans, which can be a double-edged sword for consumers. With tools like Pintar Kredit, users can make more informed financial decisions before committing to a loan.
Try It Now
If you want to try this application, visit Pintar Kredit and run your own loan simulation!
This application is one of my projects aimed at helping people better understand the financial world. If you are interested in discussing or collaborating, feel free to contact me!