Dear Giannis Prokopiou & Thanos Aidinis, Thank you for your valuable feedback on my proposal. I truly appreciate your insights, and I have incorporated the suggested changes accordingly. - I have specified the pre-trained transformer-based models for mood detection and conversational AI, with a comparative analysis planned to determine the most efficient model. - The recommendation logic now explicitly mentions predefined heuristics to refine user interactions based on explicit feedback. Songs will be prioritized or downweighted based on user actions such as liking or skipping. - Scalability and performance considerations now include caching mechanisms (using Redis) to store frequently accessed data and asynchronous request handling to optimize response times. If time permits, I will also explore model quantization for further optimization. - A caching-based fallback strategy has been added to handle Spotify API rate limits, ensuring uninterrupted recommendations by minimizing redundant API calls. - A wireframe of the chatbot interface has been included to improve clarity on the user experience. I have updated my proposal <https://docs.google.com/document/d/1aKWSN2kc46a0R2dpz0xKKVSmxkEHgLkz49YK8xLAb_I/edit?usp=sharing>to reflect these refinements and hope it aligns better with the project’s objectives. Please let me know if you have any further suggestions. Best regards, Ishan Chauhan On Mon, 31 Mar 2025 at 20:10, Giannis Prokopiou <giannprokopiou [ at ] gmail [ dot ] com> wrote: > Dear Ishan, > > Thank you for your interest in the personalized music recommendations > project and for sharing your proposal. We appreciate your enthusiasm and > the detailed approach you've taken. > > Overall, your proposal is well-structured and aligns with the project's > goals. Here are some key points of feedback: > > - > > *NLP Model Selection*: Consider specifying the exact pre-trained > models you plan to use for mood detection and conversational AI. A > comparison of alternatives would strengthen this section. > - > > *Recommendation Logic*: Clarify how user interactions will refine > recommendations over time. Will you use reinforcement learning, embeddings, > or predefined heuristics? > - > > *Scalability & Performance*: Given real-time interactions, discuss > strategies for optimizing latency, such as model quantization or caching > API responses. > - > > *Spotify API Constraints*: Some Spotify API endpoints have rate > limits; outlining a fallback strategy or alternative data sources would be > beneficial. > - > > *Frontend & UX Considerations*: A brief wireframe or description of > the chatbot interface would improve clarity on the user experience. > > These refinements will help make your proposal even better. > > Best, > Giannis Prokopiou & Thanos Aidinis > > Στις Σάβ 29 Μαρ 2025 στις 7:52 π.μ., ο/η Ishan Chauhan < > ishanchauhan712 [ at ] gmail [ dot ] com> έγραψε: > >> Dear Giannis Prokopiou and Thanos Aidinis, >> >> I hope you're doing well. I am very interested in the personalized music >> recommendations project and would love the opportunity to contribute. I >> wanted to see if I could get a review and any feedback on my proposal >> <https://docs.google.com/document/d/1aKWSN2kc46a0R2dpz0xKKVSmxkEHgLkz49YK8xLAb_I/edit?usp=sharing> >> to ensure it aligns well with the project’s goals. Your insights would be >> greatly appreciated. >> >> Thank you for your time and consideration. >> >> Best regards, >> >> Ishan Chauhan >> >> ishanchauhan712 [ 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>.