Dear Shreya, Thank you for reaching out and for your interest in the Personalized AI for Music Recommendation project. It's great to hear about your experience with AI models, RAG-based applications, and React, all of which will be very valuable for this initiative. In terms of key areas to focus on, here are a few suggestions: 1. *NLP and Mood Detection*: Understanding how natural language processing (NLP) can be used to detect user mood and preferences from text will be crucial. Familiarize yourself with sentiment analysis and emotion detection models that can be integrated into the project. 2. *Generative AI Models*: Exploring pre-trained models such as GPT or BERT for conversational AI will be essential for dialogue generation. A solid understanding of how these models work and how they can be fine-tuned for specific tasks will be helpful. 3. *Spotify API Integration*: Since the project involves personalized music recommendations based on Spotify data, it's important to get comfortable with the Spotify API for user authentication, playlist management, and retrieving user metadata (like liked songs and playlists). 4. *Real-time Playlist Modifications*: This aspect of the project involves adjusting recommendations in real time based on user feedback. You could explore how dynamic user preferences can be incorporated into playlist generation systems. As for possible user stories, here are a few to consider: - *User Story 1*: As a user, I want to be able to chat with the AI and specify my mood (e.g., happy, relaxed, energetic), so that it generates a playlist matching my current emotional state. - *User Story 2*: As a user, I want to modify my playlist in real time by adjusting parameters like mood, genre, or energy level, so that I can personalize my listening experience. - *User Story 3*: As a user, I want to explore music recommendations based on my past listening history, so that I can discover new songs similar to those I have enjoyed. We currently don't have a specific Slack or Discord channel for the project, but please feel free to reach out to me and thanos directly directly via email (giannprokopiou [ at ] gmail [ dot ] com & thanos [ dot ] aidinis [ at ] gmail [ dot ] com). Looking forward to your contributions to the project, and feel free to reach out with any more questions or ideas! Best regards, Στις Δευ 17 Μαρ 2025 στις 6:41 π.μ., ο/η Shreya Shetty < shreyashetty2501 [ at ] gmail [ dot ] com> έγραψε: > Dear Giannis Prokopiou and Thanos Aidinis, > > I hope you’re doing well. > > I am Shreya Shetty, an undergraduate student pursuing Computer Science and > Engineering. While exploring GSOC projects, I developed a strong interest > in the *Personalized AI for Music Recommendation* project. Given my > experience with AI models, RAG-based applications, and React projects that > integrate APIs, I am eager to contribute to this initiative. > > As part of my research on this problem statement, I would greatly > appreciate any guidance on key areas to focus on, as well as insights into > possible user stories relevant to this project. Additionally, if there are > any forums, Slack or Discord channels, or other platforms where I can > connect with the team or community involved, I would love to join and > engage further. > > Looking forward to your insights! > > Best regards, > Shreya Shetty > shreyashetty2501 [ at ] gmail [ dot ] com > ---- > Λαμβάνετε αυτό το μήνυμα απο την λίστα: Λίστα αλληλογραφίας και συζητήσεων > που απευθύνεται σε φοιτητές developers \& mentors έργων του Google Summer > of Code - A discussion list for student developers and mentors of Google > Summer of Code projects., > https://lists.ellak.gr/gsoc-developers/listinfo.html > Μπορείτε να απεγγραφείτε από τη λίστα στέλνοντας κενό μήνυμα ηλ. > ταχυδρομείου στη διεύθυνση <gsoc-developers+unsubscribe [ at ] ellak [ dot ] gr>. >
---- Λαμβάνετε αυτό το μήνυμα απο την λίστα: Λίστα αλληλογραφίας και συζητήσεων που απευθύνεται σε φοιτητές developers \& mentors έργων του Google Summer of Code - A discussion list for student developers and mentors of Google Summer of Code projects., https://lists.ellak.gr/gsoc-developers/listinfo.html Μπορείτε να απεγγραφείτε από τη λίστα στέλνοντας κενό μήνυμα ηλ. ταχυδρομείου στη διεύθυνση <gsoc-developers+unsubscribe [ at ] ellak [ dot ] gr>.