AI Personal Assistant Chatbot
Budget: $15 – $25 USD
I’m developing a conversational personal-assistant chatbot whose single, critical job is to answer user questions quickly and accurately. I already know that a chatbot is the right format; now I need someone who can turn that idea into a dependable, production-ready product.
What I’m after
The assistant should understand natural language, extract intent, pull the right answer from a curated knowledge base or an external LLM, and reply in a friendly, human tone. Text-only interaction is fine for the first release, but the codebase should be clean enough to plug into voice or additional channels later.
Key expectations
• Robust NLP pipeline (Rasa, Dialogflow, or a custom Python stack—your call, as long as it’s well documented)
• Secure, well-structured API or webhook layer so I can drop the bot into a website or messaging platform without re-architecting anything
• Simple admin interface or JSON/MD files that let me update answers without touching code
• Clear fallback logic when the bot is unsure, plus a logging mechanism so I can review missed queries and improve coverage
Deliverables
1. Fully functional question-answering chatbot deployed to a cloud sandbox (Heroku, AWS, or similar)
2. Source code with comments and a short README explaining setup, training, and deployment steps
3. One brief hand-off call or screen-share to walk me through the architecture and update workflow
Acceptance criteria
The bot must answer at least 90 % of a provided 100-question test set correctly and respond in under two seconds for typical queries.
If scheduling, reminders, or task management modules interest me in a later phase, I’ll open a follow-up project—but for now, nailing the Q&A experience is the whole mission. Show me examples of similar assistants you’ve shipped, and let’s get started.
What I’m after
The assistant should understand natural language, extract intent, pull the right answer from a curated knowledge base or an external LLM, and reply in a friendly, human tone. Text-only interaction is fine for the first release, but the codebase should be clean enough to plug into voice or additional channels later.
Key expectations
• Robust NLP pipeline (Rasa, Dialogflow, or a custom Python stack—your call, as long as it’s well documented)
• Secure, well-structured API or webhook layer so I can drop the bot into a website or messaging platform without re-architecting anything
• Simple admin interface or JSON/MD files that let me update answers without touching code
• Clear fallback logic when the bot is unsure, plus a logging mechanism so I can review missed queries and improve coverage
Deliverables
1. Fully functional question-answering chatbot deployed to a cloud sandbox (Heroku, AWS, or similar)
2. Source code with comments and a short README explaining setup, training, and deployment steps
3. One brief hand-off call or screen-share to walk me through the architecture and update workflow
Acceptance criteria
The bot must answer at least 90 % of a provided 100-question test set correctly and respond in under two seconds for typical queries.
If scheduling, reminders, or task management modules interest me in a later phase, I’ll open a follow-up project—but for now, nailing the Q&A experience is the whole mission. Show me examples of similar assistants you’ve shipped, and let’s get started.