ScholarMap vs GenAI Lab

ScholarMap is an academic search app that lets you explore research papers by selecting regions directly on a world map. Beyond discovery, ScholarMap helps you bookmark papers, attach personal notes, and organize saved materials into folders, making it easier to build your own research library over time. Select an area of interest and view related papers with titles, summaries, and links in one place. Whether you work in regional studies, anthropology, environmental research, public policy, education, or business research, ScholarMap helps connect places with academic knowledge. Key features: ・Select regions directly on an interactive world map ・Search for research papers related to specific areas ・View paper titles, summaries, and links at a glance ・Bookmark papers for later reading ・Add notes to each paper to capture insights and ideas ・Organize saved papers into folders by theme, project, or region ・Revisit and manage your personal research collection ・Clean and intuitive interface designed for research-focused use ScholarMap is more than a paper search app. It is a tool for discovering, saving, and organizing knowledge through geography. It is ideal for researchers, students, public sector teams, and anyone who wants to build a structured library of place-based academic resources.

GenAI Lab is an offline, hands-on course for understanding and prototyping generative AI systems, one experiment at a time. Learn how modern AI actually works by exploring it visually and interactively, right on your iPhone. No internet, no account, no tracking. A GUIDED CURRICULUM The course spans 8 tracks and 52 short missions covering: - GenAI foundations - Transformers and LLMs - Prompt engineering - Retrieval-augmented generation (RAG) - Image generation - Fine-tuning - Evaluation and safety - Multimodal AI and agents Every mission combines a concept check, a matching activity, and a guided Python code fragment so you learn by doing, not just reading. TRANSFORMER ARCADE Six short visual games and six boss challenges bring the internals of transformers to life: - Tokenization - Embeddings - Attention - Multi-head attention - Transformer blocks - Next-token generation Arcade rounds are untimed, offline, replayable, and use deterministic simulations so you can inspect exactly what is happening. LEARN BY EXPERIMENT The built-in simulators use deliberately small, deterministic examples so you can inspect attention weights, prompts, retrieval, diffusion controls, and agent loops step by step. Code activities validate guided fragments to build your intuition; the app does not execute arbitrary code. PRIVATE BY DESIGN Your progress is stored only on your device. GenAI Lab has no account, no ads, no analytics SDK, and makes no network requests. Learn anywhere, even completely offline. WHO IT IS FOR - Students and self-learners exploring how generative AI works - Engineers who want a clear mental model of transformers, LLMs, RAG, and agents - Anyone curious about the ideas behind modern AI, in a focused, no-pressure environment Questions or feedback? Email kshravi86@gmail.com.