Designed and built a personal AI assistant named Nira that operates entirely through Telegram, enabling users to manage daily productivity via natural language. The assistant supports both text and voice interactions and can summarize emails, retrieve calendar events, manage tasks, and fetch contact information using integrated third party services.
Project Summary
NiRA was designed and built as a lightweight AI personal assistant that lives entirely inside Telegram, allowing users to manage daily productivity using natural language. Instead of forcing users to adopt new dashboards or apps, NiRA works where users already communicate—inside a familiar chat interface.
The primary focus of the project was on conversational simplicity, modular automation, and deep integrations. Special attention was given to supporting both text and voice interactions, minimizing context switching, and enabling the assistant to fetch and summarize real data from external services in real time.
Key Support & Scope
- Telegram-based conversational UI
- Text and voice message handling
- AI intent understanding and routing
- Email, calendar, task, and contact integrations
- Workflow-driven automation architecture
- Modular and extensible system design
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Managing emails, calendars, tasks, and contacts across multiple platforms
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Constant context switching between apps and dashboards
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Existing assistants lack deep customization and open integrations
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Limited or unreliable voice-first workflows
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Heavy tools that require learning new interfaces
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Heavy tools that require learning new interfaces
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Automatically transcribes voice messages into text using AI Speech to Text
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Uses an AI assistant (Nira) to understand user intent
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Dynamically fetches data from connected services (email, calendar, tasks, contacts)
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Responds with concise, context-aware answers directly inside Telegram
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The entire system is workflow based, modular, and easily extensible with new tools.
- n8n
- OpenAI API
- Baserow
- Telegram
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