An intelligent AI-powered assistant designed to provide context-aware and user-friendly interactions using modern Generative AI technologies. IntelliAssist AI integrates Google Gemini AI with a Streamlit-based interface to deliver fast, meaningful, and interactive responses. The project demonstrates the practical application of Large Language Models (LLMs), prompt engineering, document-based question answering, and AI application development.
- 🤖 Generative AI-powered intelligent assistance
- 🧠 Context-aware question answering
- 💬 Interactive conversational interface
- 📄 Document-based question answering
- ⚡ Fast and clear AI-generated responses
- 🎨 Clean and intuitive Streamlit interface
- 🔐 Secure API key management using Streamlit Secrets
- ☁️ Deployed using Streamlit Cloud
- 🐍 Python
- 🎈 Streamlit
- 🤖 Google Gemini AI
- 🧠 Generative AI & LLM
- 📄 PDF Processing
- 🎨 HTML & CSS
- 🔐 Streamlit Secrets
- ☁️ Streamlit Cloud
- 🔗 Git & GitHub
- Clone the repository to your local system.
- Open the project folder in VS Code or your preferred IDE.
- Create and activate a virtual environment for the project.
- Install the required dependencies using
requirements.txt. - Configure your Gemini API key securely using Streamlit Secrets.
- Verify the project configuration and required files.
- Run the application using Streamlit.
- Open the local application URL in your web browser.
- Upload a document and start interacting with IntelliAssist AI.
- Ask questions and explore AI-powered responses based on the uploaded content.
streamlit run app.pyIntelliAssist AI is an AI-powered virtual assistant designed to provide interactive, context-aware, and user-friendly responses. The application enables users to interact with an intelligent AI system through a clean and intuitive conversational interface.
Built using Python, Streamlit, Google Gemini AI, and LangChain, the project integrates Generative AI and Large Language Models (LLMs) to generate meaningful and context-aware responses based on user queries and available document content.
The application demonstrates the practical implementation of Generative AI, LLM integration, prompt engineering, conversational AI, and document-aware question answering in a real-world application.
IntelliAssist AI focuses on providing a simple, responsive, and user-friendly experience, allowing users to communicate naturally with the AI assistant and obtain relevant information efficiently.
The project also demonstrates secure API key management using Streamlit Secrets and deployment using Streamlit Cloud, making the application accessible as a web-based AI solution.
- 🤖 Generative AI-Powered Intelligent Assistant
- 🧠 Context-Aware Response Generation
- 💬 Interactive Conversational Interface
- 🔗 LangChain Integration with Google Gemini AI
- ⚡ Fast and User-Friendly AI Interactions
- 🎨 Clean and Intuitive Streamlit Interface
- 📄 Document-Aware Question Answering
- 🔐 Secure API Key Management Using Streamlit Secrets
- ☁️ Streamlit Cloud Deployment
- 🛠️ Real-World Generative AI Application Development
Pranjali Dhanbhar
Aspiring Data Analyst | Generative AI Enthusiast | Python Developer
Passionate about building data-driven and AI-powered applications using Python, Generative AI, and modern development technologies.
- 🔍 Improved document search and retrieval
- 📚 Support for multiple document formats
- 💾 Conversation history and session management
- 🌐 Multilingual AI interactions
- 📊 Advanced document analytics
- 🎤 Voice-based interaction
- 🔐 Enhanced authentication and security