- Building AI + Backend systems with real-world use cases
- Focused on Flask, APIs, NLP, and scalable architecture
- Learning through execution, not passive tutorials
- Actively contributing to open source (GSoC-focused)
- Interested in solving real problems, not toy projects
- Intent-based NLP chatbot using structured JSON
- Designed fallback + response handling logic
- Lightweight and extendable architecture
🔗 https://github.com/arpitsingh97096-debug/ai-chatbot-nlp
- Made first successful pull request (documentation + improvements)
- Exploring beginner-friendly issues in active organizations
- Focus areas:
- Backend development
- API integrations
- AI/NLP systems
Goal: Contribute consistently and get selected for GSoC
- Writing cleaner, scalable backend code
- Strengthening DSA problem-solving
- Building projects that demonstrate depth
- Increasing open-source contributions
