GDpro

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  “User registration screen for joining the AI-powered group discussion simulation."

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  Topic selection interface allowing users to choose between a system-generated random topic or a custom discussion topic

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  Active group discussion interface showing interactions between AI participants and the human user.

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  Personalized AI evaluation report summarizing user performance and growth areas from the group discussion

Inspiration

Problem: Many students struggle with Group Discussions due to lack of practice, feedback, and confidence 1.Group Discussions are essential for placements and interviews. 2.Students often lack access to real GD environments. 3.Fear of speaking limits effective preparation

What it does

Solution: An AI-powered platform for structured GD practice using text-based interaction 1.Enables users to participate through typed responses. 2.Simulates a real GD environment in a controlled format. 3.Evaluates responses for: clarity relevance ogical flow content quality 4.Provides personalized feedback after each session.

How we built it

Technology: AI and Natural Language Processing (NLP) 1.Implemented text analysis using NLP techniques. 2.Designed structured GD flow and evaluation logic. 3.Built a scalable architecture for future enhancements.

Challenges we ran into

Key Difficulty: Designing fair and meaningful GD evaluation 1.Creating effective feedback metrics. 2.Maintaining natural discussion flow in text-based GDs. 3.Planning smooth future integration of voice features.

Accomplishments that we're proud of

Achievement: A functional and beginner-friendly GD practice tool

1.Successfully built a typing-based GD simulator. 2.Lowered the entry barrier for hesitant learners. 3.Delivered actionable improvement insights.

What we learned

Learning Outcome: Applying AI to real-world interview preparation 1.Practical NLP implementation. 2 User-centric system design. 3.AI-driven evaluation techniques.

What's next for GDpro

Future Vision: A complete voice-enabled GD platform 1.Introduce voice-based Group Discussions. 2 Add speech fluency and confidence analysis. 3.Enable real-time AI moderation. 4.Enhance realism using multimodal AI.

Built With

• machine-learning
• natural-language-processing-(nlp)
• numpy
• openai-api
• pandas
• python
• scikit-learn
• streamlit