Inspiration
The rise in online scams and cyber threats inspired us to create a solution that offers robust protection to users. We aimed to develop an AI-driven system that can effectively detect and prevent various types of online fraud, ensuring a safer digital environment for everyone.
What it does
Safedot AI features two main components: Scatch and Safecall. Scatch identifies fraudulent messages and phishing links, while Safecall alerts users to suspicious calls attempting to extract personal and sensitive information. Together, they provide comprehensive protection against online scams.
How we built it
We used Next.js, tailwind, CSS, TypeScript, Open AI API
Challenges we ran into
Our main technical challenge was to find a suitable speech-to-text recognition technology that worked in Spanish and was easy to work with. In the end, we did find a solution to this problem. In terms of collaboration, we had a tough time organizing our schedules properly. By the end of the 6th hour, we managed to find a proper strategy to organize ourselves throughout this weekend
What are we proud of
We are very proud of the result of our project, the project that involves avoiding scams in calls and emails. Also, we are proud of the work we have done in the last 3 days we think that is a technology that can help a lot of people not only around us but all over the world.
What we learned
Throughout LinceHacks we learned different technologies such as the Application Programming Interface of OpenAI in which we discovered the new LLM models of GPT that we can apply to our solution for ending all the scams that most people believe.
What's next for SafeDot: Scatch y SafeCall
What´s next for SafeDot is to ensure the people that they have our technology to avoid all types of scams via calls, text messages, or email.
Built With
- nextjs
- openaiapi
- tailwind
- typescript
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