Yapma 🎯

Basic Details

Team Name: Delulu

Team Members

• Member 1: Aisha Nama - Cusat
• Member 2: Anjana Sankar - Cusat
• Member 3: Majida Nasrin - Cusat

Hosted Project Link

[mention your project hosted project link here]

Project Description

YAPMA tackles the critical challenge of preventing harmful AI misuse by stopping unethical prompts at the source. We're shaping a safer, more responsible AI future—because it matters.

The Problem statement

We're solving the absurd reality where people misuse AI to create harmful and unethical content—because honestly, who thought making AI a supervillian was a good idea? 😤 YAPMA steps in to say, "Not today, bestie!"

The Solution

We’re giving AI a moral compass and a Gen Z vibe! 🌟 YAPMA sniffs out shady prompts, serves up sassy warnings, and stops harmful content before it even exists. Think of us as that loyal bestie your AI didn’t know it needed!

Technical Details

Technologies/Components Used

For Software:

• Python
• Streamlit, FastAPI
• Google-generativeai, Python-dotenv, Requests, Transformers
• Render

Implementation

For Software:

Installation

pip install -r requirements.txt

Run

uvicorn app.main:app --reload

streamlit run frontend\app.py

Project Documentation

For Software:

Screenshots

Home page of YAPMA

YAPMA dealing with unacceptable comments

YAPMA dealing with acceptable comments

Diagrams

User inputs flow from Streamlit UI to FastAPI backend, where DistilBERT classifies prompts as Acceptable or Unacceptable, with GenZ feedback according to it.

Project Demo

Video

[https://drive.google.com/file/d/1cFuntqj6_IhYutVYxijsEt1OIjSstrj1/view?usp=sharing] The video demonstrates how YAPMA classifies the prompts as Acceptable and Unacceptablewith a certain confidence level.

Team Contributions

• Aisha Nama: Backend development, integrated pre-trained DistilBERT model for prompt moderation, version control.
• Anjana Sankar: Backend development, integrated Gemini API for GenZ feedback generation, handled hosting.
• Majida Nasrin: UI/UX design, Streamlit frontend development, created content and media for documentation.

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Made with ❤️ by Delulu