💬 Finance Assistant AI

An intelligent chatbot powered by LLM + RAG (Retrieval-Augmented Generation) to assist with financial queries, fraud detection insights, and company-related Q&A using custom financial datasets.

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🚀 Features

• 💸 Ask anything about finance or fraud detection
• 🔎 Uses vector search (FAISS) to retrieve relevant context
• 🧠 Mistral-7B-Instruct model used for answering questions
• 📊 Supports multiple datasets (Sentiment, Fraud, QA)
• 🧾 Displays relevant labels and context for transparency

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🖼️ Preview

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🔐 Hugging Face Token Setup

To use the Mistral LLM, add your Hugging Face token:

🔗 Get your token here: https://huggingface.co/settings/tokens

Set it as an environment variable:

export HF_TOKEN=your_token_here

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📂 Supported Datasets

Dataset Name	Purpose	Required Columns
finance1.csv	Sentiment Analysis	text, label
synthetic_log.csv	Fraud Detection	type, nameOrig, isFraud, etc.
financial_qa.csv	Financial Q&A	question, answer, context

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▶️ How to Run

Run the app with:

streamlit run app.py

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🧰 Technologies Used

● Streamlit

● FAISS

● Hugging Face Transformers

● Sentence Transformers

● Scikit-learn

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👩‍💻 Author

Made by Yashika Maligi

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