TALENTO IA: AI Specialist Recommender

Home screen prioritizing natural voice search to humanize the experience, with a standard text input option below.
Real-time voice transcription and AI processing animation as the app actively searches for the perfect match.
AI-recommended specialist cards displaying verified skills, behavioral traits, and quick actions to share or save.
Detailed profile showcasing their unique story, soft skill tags, and a visual project portfolio to build absolute trust.
Project creation flow. Specialists upload details and photos, allowing our AI to seamlessly analyze and package their work.

Inspiration

Finding a reliable specialist (whether a plumber, an accountant, or a builder) is usually a stressful process. People naturally rely on word-of-mouth recommendations because traditional search engines only offer cold directories with rigid, frustrating filters. We asked ourselves: What if a platform could recommend a specialist with the exact same trust, context, and understanding as a good friend?

What it does

TALENTO IA, now available in production on the App Store and Google Play, is a smart recommender for any type of specialist. Instead of forcing users to navigate complex drop-down menus, users simply describe their problem in natural language (e.g., "I have a water leak in my roof, and I need someone who is highly punctual and leaves the workspace spotless"). Our platform uses AI to analyze the request, compare it against the portfolios, past projects, and behavioral tags (like polite, organized, problem-solver) of professionals. It then makes the perfect match based on technical skills, verified soft skills, and location.

How we built it

While we had a pre-existing basic directory infrastructure, during this hackathon we completely transformed it into an AI-powered recommendation engine. We integrated Google Cloud and Vertex AI. Specifically, we utilized the Gemini API to process natural language queries from users and analyze the unstructured data in specialists' portfolios and reviews. Gemini acts as the "brain" of the app, understanding the deep context of the user's need rather than just matching keywords.

Challenges we ran into

Beyond the technical shift from deterministic search to semantic AI, our biggest business challenge was building trust from scratch while operating on a highly efficient initial seed investment of roughly $6,700 (25,000 PEN). To overcome the "cold start" problem and validate our brand in the market, we are currently forging strategic B2B alliances with established businesses and institutions to secure institutional backing before our massive official launch.

What we learned

The market is hungry for trust and humanized technology. In our organic pre-launch phase alone, we have already onboarded over 70 active users who have created more than 100 projects on the platform. We learned that when you focus on a philosophy where "doing a good job benefits everyone," the community responds instantly. The AI doesn't just automate tasks; it creates an empathetic, conversational experience that users value.

What's next for TALENTO IA

With strong early metrics, our immediate next step is executing our official commercial launch and scaling our B2B alliances to solidify our market position. Technologically, we plan to fully integrate Gemini's multimodal capabilities. Soon, users will be able to upload a picture or video of their problem, and the AI will automatically diagnose the issue, suggest the best course of action, and recommend the ideal specialist for the job.