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Harssh3108/neutral-net-api

sourceHugging Faceupdated 6mo agoView on Hugging Face

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App README

Neutral Net

Real-Time Language Bias Detection

—Real-Time Multi-Model Detection - Analyzes text instantly as you type, powered by specialized AI models (Transformer-based classification, Zero-Shot NER, and Neural Coreference Resolution)

—Bias Categorization - Detects contextual bias across four categories:
—Stereotypes - Blocks harmful generalizations at sentence/phrase level.
—Gendered-Terms - Flags outdated roles ("chairman"), while ignoring safe contexts.
—Agentic/Communal Tone Skew - Detects subtle, subconscious phrasing that diminishes technical roles or amplifies hostility.
—Pronoun Bias - Maps pronouns back to original subjects to detect forced gender roles.

—"Fix All" and Interactive Resolution - Offers one-click neutralization of all fixable biases. Users can also click individual highlights for AI-generated synonyms, custom replacements or to "Ignore" a flag.

—Document Support - Parses and extracts text from uploaded PDFs (.pdf) and Word Documents (.docx) for bulk analysis.

—Algorithmic Inclusivity Scoring - Calculates a bias score using an Exponential Decay algorithm and severity weights, ensuring short sentences aren't unfairly penalized.

—Live Analytics Dashboard - Features a Radar Chart that visually maps the distribution of biases.

—Export to TXT - Instantly download the neutralized text as .txt with a single click.

—Sub-Document LRU Caching - An optimized backend infrastructure that caches inference result and reduces latency by over 80%.

Follow these steps to run Neutral Net on your local machine.

bash

git clone https://github.com/harsshg31085/Neutral-Net
cd backend

bash

# Windows
py -3.11 -m venv venv
.\venv\Scripts\Activate

# Mac/Linux
python3.11 -m venv venv
source venv/bin/activate

bash

pip install -r requirements.txt

In backend:

bash

python manage.py runserver

In frontend:

bash

npx http-server -p 3000