Inspiration
We aimed to improve customer service using AI by providing instant, intelligent, and personalized support.
What it does
Our AI agent handles FAQs, detects sentiment, and assists users across chat platforms with smart, human-like responses.
How we built it
We used OpenAI APIs for NLP, integrated it with a chatbot UI, and added sentiment analysis for better user interaction.
Challenges we ran into
Balancing response accuracy with speed and handling complex or ambiguous queries were key challenges.
Accomplishments that we're proud of
Successfully built a multi-functional AI agent with real-time support and emotion-aware responses.
What we learned
We learned how to integrate AI with real-time systems and optimize user experience using NLP and sentiment tools.
What's next for customer Service Agents with AI
We plan to add voice support, multilingual capabilities, and integrate with CRM systems for smarter insights.
Built With
- ai
- firebase
- flask
- gpt
- heroku
- javascript
- mongodb
- openai
- python
- react
- sentiment-analysis-online
- vercel-(frontend-hosting)
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