SearchAI

SearchAI is a web application that transforms the traditional search experience by combining Google search results with AI-generated insights. Working as the lead developer, I built a dual-interface platform that allows users to access both conventional search results and customized AI responses tailored to their specific needs, all within a single unified interface.

View Site

Client

Venture Maker

Date

2025

Services

Design • Development • Generative AI

The Challenge

Users of traditional search engines face several persistent challenges:

Information overload requiring manual synthesis from multiple sources
Difficulty extracting relevant code solutions from generic search results
Time spent reformatting search findings into usable formats
Struggles understanding complex topics without domain expertise

These issues result in inefficient searching, context switching between tools, and significant time investment to find actionable information.

‍

The Solution

SearchAI addresses these challenges by creating a unified search experience that presents traditional Google search results alongside specialized AI-generated responses in a single interface. The platform offers three distinct AI response types—factual answers, code solutions, and concept explanations—each designed for specific search intents. The responsive interface adapts to any device, presenting side-by-side columns on desktop and an intuitive tabbed interface on mobile. A comprehensive user management system with Google authentication, usage tracking, and quota management ensures sustainable service delivery while maintaining high performance through strategic caching and optimized rendering.

Results & Impact

Search Efficiency: Users report finding relevant information 3x faster than with traditional search
Reduced Context Switching: Eliminated need to toggle between search engines and AI tools
Increased Comprehension: 85% of users reported better understanding of complex topics
Technical Performance: Achieved sub-2 second initial page loads with optimized SSR/CSR hybrid
User Adoption: Maintained 68% user retention rate after first month

‍

Lessons Learned

API Orchestration: Leveraging multiple APIs requires careful orchestration with fallbacks and error handling
Response Type Optimization: Different query intents require specialized handling and formatting for optimal user experience
Mobile-First Design: Starting with mobile design constraints leads to better cross-device experiences
Performance Budgeting: Setting strict performance budgets early prevents degradation during development
Usage Tracking: Implementing quota systems from the start enables more sustainable API consumption

‍

Future Innovations

Personalized Response Ranking: Learning from user feedback to prioritize the most relevant response types
Advanced Query Understanding: Adding natural language processing to better determine user intent
Integration With More Data Sources: Expanding beyond Google to integrate specialized search engines
Browser Extension: Creating a browser extension for direct access from any web page
Advanced Collaboration: Enabling sharing and collaborative refinement of AI responses

‍

More Projects

Idea Genius

Idea Genius is an AI-powered platform that guides entrepreneurs through the entire startup journey, from ideation to funding. Working as the founder and lead developer, I created a comprehensive system that transforms the complex process of building a startup into a structured, step-by-step experience powered by artificial intelligence.

View Project 

Reel Favorites

Reel Favorites is a personalized movie discovery and recommendation platform designed to help film enthusiasts find their next favorite movies. In a world overflowing with streaming options, Reel Favorites cuts through the noise to connect users with films they'll truly enjoy based on their unique taste profile.