Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.
Identifying individual speakers in an audio stream based on the unique characteristics found in individual voices using Python
A robust, all-in-one GPT3 interface for Discord. Chat just like ChatGPT right inside Discord! Generate beautiful AI art using DALL-E 2! Automatically moderate your server using AI!
Music genre classification using CNN
BetterRAG: Powerful RAG evaluation toolkit for LLMs. Measure, analyze, and optimize how your AI processes text chunks with precision metrics. Perfect for RAG systems, document processing, and embedding quality assessment.
It combines text embeddings to search through the documents of the European Central Bank for 2025, uses prompting to generate clear, friendly answers, and builds builds a question-answering app (RAG).
A document-based Question-Answering system using LangChain, HuggingFace Embeddings, Ollama (Mistral), Chroma, and FAISS — all running locally.
ResumeScorer is an intelligent resume screening tool that leverages Natural Language Processing (NLP) techniques to assess the relevance of resumes against a given job description. The core idea is to reduce manual screening time and improve candidate-job matching through semantic similarity.
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