Discussion on AI layer

[ShantKhatri]

Summary

We can have one AI layer, which will work as conversation summerization.

Contexts

Just like while sharing card if the user will start the conversation summerization and the layer will work to natural language the conversation and output in the form of text file which can be exported and also can be in view. We can also add audio simulator for this output one.

[pallavidondapati]

Hi @nowbind, I’d like to work on this issue under GSSoC'26.

My approach would be to design an AI summarization layer that processes the conversation context using NLP techniques and generates concise summaries in natural language. I’m thinking of implementing a modular pipeline where the conversation data is preprocessed, summarized using an LLM/NLP model, and then exported as structured text output.

Additionally, I can explore optional features like audio-based output generation and maintaining contextual continuity across longer conversations.

I have experience working with AI/ML, NLP, and deep learning systems, and I’d love to contribute to this feature. Please assign this issue to me if it aligns with your expectations.

[SdSarthak]

Hi @nowbind,

I'd love to contribute to this discussion and potentially implement the AI conversation summarization layer under GirlScript Summer of Code 2026.

I have experience in AI/ML and agentic systems, and conversation summarization is right in my domain. My approach would use an LLM to produce a structured natural-language summary of the conversation, with an option to export it as a text file or play it back via an audio simulator.

I'd keep the summarization asynchronous and triggered on-demand (user-initiated) so it doesn't impact real-time card sharing performance.

Happy to discuss the design further — could you assign this to me?

Thanks!

[bonubhavana04]

Hi,
I would like to work on resolving this issue. Please assign it to me. I’m a participant in GSSoC 2026 and would be happy to contribute.
Looking forward to collaborating with you.