🚀 Projects
Bhagavad-GPT: Implemented a customized RAG (Retrieval-Augmented Generation) model centered on the ”Bhagavad Gita,” optimizing output by referencing an authoritative knowledge base. Created ∼3,900 Gita embeddings via an open-source model, stored them in Pinecone, and performed relevancy
searches using cosine similarity, ensuring contextually relevant responses. Developed a Full-Stack application using Flask, Bootstrap, and the AI Agent to provide a seamless user experience
Environment: Langchain, Hugging Face, OpenAI API, Flask, Pinecone, Bootstrap
Assessify:
Developed a multi-agent AI system to create and review exams based on provided material, enhancing the accuracy and relevance of exam questions. Built an application to specify the number of questions, difficulty level, and focus of the output for the AI agent system, resulting in a more tailored and efficient exam creation process
Environment: LangChain, OpenAI, Streamlit, AWS S3
ShareAI:
Engineered an AI-powered photo sharing application, utilizing facial recognition for automatic photo sharing
with all recognized friends. Devised an algorithm that traces through the user’s friend network to automatically share uploaded photos with recognized friends’ accounts on the platform. Received cash prize from judge at Formula Hacks 2024, independently awarded. Environment: React Native, Typescript, Supabase, Python, DeepFace