Dear Darshil, Thank you for your detailed introduction and for expressing interest in the *PersonalAIs* project! Your background in *LLMs, RAG architectures, and full-stack development* aligns well with the project’s needs, especially given the focus on *NLP for mood detection and personalized music recommendations*. Your experience with *chatbot development, API integration, and knowledge graphs* is particularly relevant, as the project aims to build an *AI agent that can dynamically generate and refine music recommendations*. Since you've already drafted a preliminary proposal, we'd be happy to review it and provide feedback to ensure it aligns with the project's vision. A few key areas to consider for your proposal: - The system should incorporate *LLMs for conversation* rather than rule-based or static responses. - The *mood detection pipeline* should work alongside a separate model that facilitates conversation and invokes *dynamic playlist generation tools* (rather than using predefined outputs). Feel free to *share your draft proposal* in this mail thread in order to prepare it for submission in the GSoC portal. Looking forward to your contributions! Best, Giannis Prokopiou & Thanos Aidinis Στις Σάβ 22 Μαρ 2025 στις 3:54 μ.μ., ο/η Darshil Thakkar < darshilt [ dot ] work29 [ at ] gmail [ dot ] com> έγραψε: > Dear GFOSS community and project mentors, > > I am Darshil Thakkar, a B.Tech student in Artificial Intelligence and > Machine Learning at Dwarkadas J. Sanghvi College of Engineering, Mumbai. > I'm writing to express my strong interest in contributing to the GSoC 2025 > project "PersonalAIs: Generative AI Agent for Personalized Music > Recommendations" mentored by Giannis Prokopiou and Thanos Aidinis. > > My background aligns closely with this project's requirements: > > - *AI/NLP Experience*: I've implemented chatbots using LLMs, > LangChain, and Hugging Face Transformers during my internship at Reliance > Industries, where I fine-tuned models with RAG (Retrieval-Augmented > Generation) for improved question-answering systems. I have extensive > experience with diverse RAG architectures, including Text-to-SQL RAG, > knowledge graph based RAG, and multimodal hybrid RAG for medical diagnosis > applications. > - *Full-Stack Development*: I'm proficient in React, Node.js, FastAPI, > and Flask, with experience building intuitive user interfaces using > TailwindCSS. I also have experience developing mobile applications using > React Native, which could be valuable for extending the project to mobile > platforms. > - *API Integration*: I have experience integrating various APIs and > working with both SQL and NoSQL databases (MySQL, MongoDB) for data storage > and retrieval. > - *Relevant Projects*: > - Developed "LegalDoc-Translate-Query-Assistant," a RAG-based > system that processes documents, creates embeddings, and provides an > intuitive query interface. > - Implemented Text-to-SQL RAG systems for structured database > querying via natural language. > - Created knowledge graph based RAG solutions for complex > relationship mapping and inference. > - Built multimodal hybrid RAG for medical diagnosis that processes > various input types and data formats. > These projects demonstrate my ability to work with different RAG > architectures that would be valuable for developing a sophisticated music > recommendation system. > > What excites me about this project is the combination of NLP for emotional > state detection and personalized recommendation systems. I believe my > technical skills and experience with conversational AI would make me a > strong contributor to bring this project to life. > > I have already prepared a preliminary proposal draft for this project that > outlines my approach, timeline, and implementation strategy. I would > welcome the opportunity to discuss this draft with the project mentors to > refine it based on their insights and project requirements. > > I would appreciate the opportunity to connect with the project mentors to > discuss how I can contribute to this project. Please feel free to reach out > to me with any questions or additional information that would be helpful in > assessing my fit for the project. > > Thank you for your consideration. > > Best regards, > > Darshil Thakkar > > +91 9082385455 > > darshilt [ dot ] work29 [ at ] gmail [ dot ] com > > GitHub: https://github.com/darshil929 > ---- > 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>.