An AI-powered chatbot that leverages RAG (Retrieval-Augmented Generation) to answer your questions based on the content of uploaded PDFs
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Updated
Apr 12, 2026 - Python
An AI-powered chatbot that leverages RAG (Retrieval-Augmented Generation) to answer your questions based on the content of uploaded PDFs
Capio — I seize. You saw it, you screenshotted it, then it vanished into 1,000 other photos. Capio reads the text, groups related shots, and saves a clean titled note you can actually search.
✨🧠Zenith GPT is a chatbot, but not the kind you dismiss with a shrug. Every interaction has weight here. A 3D orb breathes in response to your mouse, to the cadence of speech, to the rhythm of thought. While the model thinks, the interface doesn't freeze — it waits, visibly, alive.
Codehive Genie is an AI-powered coding assistant integrated into the Codehive platform, designed to simplify coding tasks such as code generation, bug fixing, and optimization. Powered by Llama 3.1 and deployed on Vercel, it supports multiple programming languages, including Python, C, Java, JavaScript, TypeScript, and C++.
AyurGuru - Revolutionizing Wellness with Ayurveda and AI. AyurGuru is an AI-powered platform delivering Ayurvedic health solutions in real time. Users can consult a smart chatbot, upload medical reports for tailored insights, and explore comprehensive Ayurvedic blogs. Built with modern web technologies for a secure and seamless user experience.
🌿 AyurGuru Flask API is an intelligent, Ayurveda-focused conversational API designed to provide insightful and meaningful responses powered by advanced AI models like Groq Cloud and Llama 3.1. It offers Ayurveda-specific guidance on topics like herbal remedies and lifestyle practices, along with context-aware interaction through document summary.
MedTrace is a PubMed-powered RAG application that retrieves, embeds, and analyzes biomedical literature, adding a contradiction detection layer to highlight supporting vs. opposing evidence and an LLM-as-a-judge evaluation module to score response relevance, groundedness, and confidence.
This repository contains the source code for a comprehensive Learning Management System. The project is built with a modern tech stack featuring an Angular frontend, a robust .NET 10 backend API, and a Python microservice, integrating advanced AI capabilities for an enhanced learning experience.
MSc Thesis Project – Framework for Causality-Aware Structured Multi-Step Reasoning in Legal Argument Generation – AI Systems Engineering, supervised by Prof. R. Pietrantuono and PhD Cristian Mascia (2026)
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An AI-powered chatbot designed to help users improve their pronunciation, build confidence, and practice communication skills. The chatbot provides personalized feedback, interactive conversations, and generates detailed progress reports.
The Talx API powers the AI-driven features of the Talx platform, enabling intelligent functionalities such as ResumeAI and Chat Assistant AI.
Codehive Genie is an AI-powered coding assistant integrated into the Codehive platform, designed to simplify coding tasks such as code generation, bug fixing, and optimization. Powered by Llama 3.1 and deployed on Vercel, it supports multiple programming languages, including Python, C, Java, JavaScript, TypeScript, and C++.
CoachIA est une application web interactive basé l'intelligence artificielle pour fournir un coaching sportif personnalisé
A next-generation, high-performance AI-driven SaaS website builder engine. Built with Next.js, Supabase, and Cloudflare R2, featuring ultra-fast AI layout generation powered by Groq Cloud and Google Gemini Studio. Fully optimized for SEO-ready, WhatsApp-integrated storefronts with enterprise-grade Zod validation and XSS security guardrails.
Interactive Streamlit interface for a LangGraph-based multi-agent system that builds simple applications
Project on a Fact-Checking using LLM-powered GraphRAG – AI Systems Engineering (MSc), supervised by Prof. R. Pietrantuono (2025)
Goal Mentor is a professional goal achievement platform powered by LangGraph and Groq Cloud API. It provides an intelligent, interactive system that helps you break down goals into structured 4-week implementation plans, track progress systematically, and receive personalized guidance when facing obstacles.
The TeleHealth platform is built using a modern, high-performance stack that prioritizes a premium "Vanilla" experience—meaning no heavy frameworks like React or Tailwind were used. This ensures maximum speed, smooth animations, and zero dependencies on the frontend.
🧠Big Brain acts as your team's second brain, storing all your docs and allowing easy vector search.
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