An NLP-powered framework that performs intent detection and maps user inputs to appropriate execution layers, enabling automation of real world workflows.
- 🧠 Intent classification (e.g., timetable, attendance, etc.)
- 🔍 Entity extraction (dates, course codes, percentages, etc.)
- ⚡ Clean modular backend architecture
- 🧩 Easily extendable for new intents and entities
- 🔗 Designed to integrate with APIs (like VTOP)
src/
├── nlp/
│ ├── intent_classifier.py
│ ├── entity_extractor.py
├── services/
│ ├── attendance.py
│ ├── timetable.py
├── utils/
│ ├── formatter.py
└── main.py
- User sends a natural language query\
- Intent classifier determines the action\
- Entity extractor pulls structured data\
- Service layer processes request\
- Response is returned
git clone https://github.com/sathwikv2005/Intent-OS
cd intentos
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
cd src
python main.pyMIT License