IPC_matcher / README.md
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---
license: mit
tags:
- legal
- ipc
- classification
- bert
- indian-law
- multilingual
model-index:
- name: IPC Matcher LawSight
results: []
library_name: transformers
datasets:
- custom
language:
- en
- hi
- mr
pipeline_tag: text-classification
---
# 🧠 LawSight – IPC Section Matcher (BERT-based)
This model is part of **[LawSight](https://github.com/riyaindap7/LawSight)** – an AI-powered legal assistance tool designed to suggest applicable **Indian Penal Code (IPC)** sections based on user complaints.
It uses **BERT embeddings** and a fine-tuned classification head to intelligently match free-form complaint descriptions with relevant IPC sections.
---
## 📌 Use Cases
- 👮 Law enforcement automation
- ⚖️ Legal aid applications
- 📚 Legal NLP research
- 🧾 FIR assistance & section classification
---
## 🚀 Model Details
- **Architecture**: BERT (base model) with a custom classification head
- **Input**: Complaint text in English
- **Output**: One or more IPC section numbers with confidence scores
- **Fine-Tuned On**: Custom dataset of IPC-tagged complaints
- **Multilingual Support**: Input preprocessed using translation for multilingual capabilities
---
## 🔧 How to Use
```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
# Load model
model_name = "ri2000/IPC_matcher"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)
# Sample input
complaint = "A man forcefully entered my house and tried to harm me."
# Tokenize
inputs = tokenizer(complaint, return_tensors="pt", truncation=True, padding=True)
# Predict
outputs = model(**inputs)
logits = outputs.logits
predicted = torch.argmax(logits, dim=1)
# Show result
print(f"Predicted IPC Section ID: {predicted.item()}")
```
---
## 📦 Access to Dataset & Model Weights
Access to the full dataset and model training pipeline is available upon request:
👉 **[Request Access via Google Form](https://forms.gle/rjLkpDcbj2piY7KX8)**
---
## 👩‍💻 Developed By
**Riya,Sachi & Tanmay**
With support from the **LawSight Team**
> Built with ❤️ for societal impact.