Project Info

wonderlands.

How we built it

Python 3 Fast API+ + PyQT, React/NextJS + Google gemini + Deepgram SDK + Hume AI SDK

Challenges we ran into

Finalizing an initial roadmap Internet connection disrupted our flow NextJS integrations and endpoints

Accomplishments we're proud of

We made reading an ebook file (EPUB) into engaging live-speaking characters with their traits (Gender, Tone etc) with whom the listener can interact using their voice. We wrote a cross-platform app (Desktop and Web) and utilized multiple services: Google Gemini for the intelligence, Deepgram Voice API for Text to Speech, and HumeAI for Live Interaction with the characters. We used multimodality of text and speech (with tone and expressions) to generate an engaging experience. Live highlighting of live speech with our own code.

What we learned

Got familiar with the potential of modern voice agents. We understood how we can leverage the intelligence of LLMs and expressiveness capturing the power of the various voice APIs. A ton about Web Application architectures, UI framework, and integration of speech APIs with modern apps. Future of entertainment and education technologies.

What's next

The goal for wonderlands is to become a multimodal, cross platform and engaging service leveraging GENAI for entertainment, knowledge and human prosperity, bringing you art from the abstract.

BookApp

Develop Environment Setup

Install conda. Follow instructions here.
Create conda environment:

conda create --name book-chat python=3.11
conda activate book-chat
pip install -r requirements.txt

Run Backend

cd BookChat
fastapi dev main.py

Analysis

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Metric

Amit Thakur
7

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only

HTMLIn code
JavaScriptIn code
PythonIn code
FastAPIClaimed
Google GeminiClaimed
Next.jsClaimed

3 of 6 appear in the indexed code. 3 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

46 KB

Source files

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.