Qlearo

Homepage of Qlearo (supports only gemini, fireworks & groq till now)
Extreme mode summarizing Apple's performance
Social mode identifying Cluely's implications for education
Qlearo generates animated videos of math topics using Manim

Inspiration

As a computer science student and builder, I often found myself drowning in browser tabs using LLMs for answers, Google for sources, PDFs for deep dives, and YouTube for explanations. Despite having multiple AI tools available, they weren’t aware of the latest developments, and most importantly, they lacked clarity.

I wasn't alone, millions of students and researchers face the same problem every day:
AI gives answers, but not understanding.

That’s when the idea of Qlearo was born an AI tool that searches the internet in real-time, summarizes with in-line citations, suggests related questions, and even generates visual explanations for deeper learning.

What it does

Qlearo is an anonymous AI-powered search & learning engine that teaches through visuals, citations, and interactive breakdowns.

Here’s what Qlearo offers:

Search & Research: Ask any question and get structured, cited, and context-aware responses. You can even choose between multiple LLMs.
Deep Research (Extreme Mode): Explore complex topics with follow-ups, depth, and academic-level insights.
Animated Video Explanations: Generate dynamic visual explanations using the Manim Python library — like Khan Academy for any question.
Academic & Financial Data Access: Pull real-time information from APIs like arXiv, Semantic Scholar, Yahoo Finance, Alpha Vantage, and more.
Voice Interaction: Use real-time conversational learning powered by ElevenLabs for hands-free education.

How I built it

I built Qlearo using a modern AI tech stack focused on performance, clarity, and interactivity.

Frontend: Next.js + Tailwind CSS for a sleek and responsive interface.
UI Components: Used shadcn/ui and Lucide React icons for a minimal, elegant design.
LLM Integration: Supports OpenAI, Anthropic, Gemini, and other open-source models (currently Gemini, Fireworks & Groq) with custom prompt engineering.
Search APIs: Connected to Tavily, Serper, and Jina for real-time internet search.
Financial APIs: Integrated with Alpha Vantage and Yahoo Finance.
Voice Agent: Real-time responses powered by ElevenLabs.
Video Rendering: Animated video generation via Manim for visual learning.

Challenges I ran into

Building Qlearo in 30 days brought several technical and creative challenges:

Combining Multiple APIs: Each API had different formats and behaviors — managing them in harmony took serious work.
Video Generation with Manim: Creating animated explanations required precise scripting and optimization to keep render times short.
UI Complexity: Designing an intuitive UI for complex responses like citations, charts, videos, and graphs without overwhelming the user.
Prompt Engineering: Crafting prompts that consistently deliver structured, accurate, and readable outputs with minimal hallucination.

Accomplishments that I'm proud of

Built a full-stack AI tool from scratch with search, structured AI answers, voice interaction, animated videos, and real-time data retrieval.
Integrated Manim to generate educational video explainers, something I had never tried before
Created a custom prompt strategy for accurate, multimodal responses with citations, charts, and graphs.
Designed a clean, usable experience across multiple data and AI tools without using no-code builders or templates.
Turned personal frustration into a working, polished tool with potential real-world impact.

What I learned

Learned advanced prompt engineering for structured, multimodal LLM outputs.
Understood how to integrate and normalize data from various APIs AI, financial, academic while maintaining speed and accuracy.
Explored and mastered the Manim animation library to visualize concepts programmatically.
Learned how to build better UX for AI answers making complex data accessible and beautiful.
Discovered how much can be achieved solo under tight deadlines when focused on solving a real problem.

What's next for Qlearo

Qlearo is just getting started. With the concept validated, the future roadmap is clear:

Smarter Knowledge Graphs**: Visualize how concepts, sources, and questions interconnect.
Memory & Context**: Add persistent memory for long-term threads and ongoing research.
More Data Integrations**: Expand to JSTOR, SSRN, Scopus, TradingView, and SEC EDGAR.
Collaborative Workspaces**: Enable live collaboration inside "Spaces" with threaded discussions guided by Qlearo.