Empowering the Future with AI-Driven Solutions
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Key Features
- Video-Contextual Query Understanding: Responds intelligently based on the currently viewed video, directly from the transcript or related materials.
- Smart Fallback via LLM (TinyLLaMA or OpenAI): If context is unavailable, the bot escalates to a language model. Seeks user consent before fetching general answers from AI.
- Structured & Formatted Responses: Every answer is organized with bullet points or numbered steps.
- Multilingual Input Handling: Ensures regional learners are not left behind.
- Source Transparency: Displays whether an answer came from transcript, document, or LLM. Builds trust with end-users and allows better auditing.
Benefits
- Scalable Learner Support: 24x7, instant answers.
- Reduces Load on Human Mentors: Alleviates pressure on support staff.
- Inclusive Learning: Supports regional language queries.
- Analytics-Ready: Tracks what users are asking.
- Highly Customizable: Adaptable for new subjects, videos, or languages.
- Local/Offline-Friendly: TinyLLaMA mode for data privacy.
Customization Options
- Video & Transcript Integration
- Support Docs Upload / Management
- Language Support: Add/Remove languages
- LLM Fallback Model: TinyLLaMA/OpenAI
- UI Styling & Embedding: Integrate into your platform
- Response Format: With or without source
- Consent Flow Wording
- Logging & Analytics Integration
Terms Of Use
- User Responsibility: Users are responsible for providing accurate information and maintaining confidentiality of their login details.
- Accuracy of Information: While the chatbot provides accurate information, users should verify critical details with official sources.
- Content Moderation: The chatbot automatically filters inappropriate language or content and may restrict access if misuse is detected.
- Limited Liability: The institution is not responsible for decisions made based on chatbot-provided information.