LifeNav AI: Your Daily Life Strategy Copilot — Powered by Google Gemini

In the information overload and burnout age, we often need more than a to-do list—we need a strategic copilot that understands us, adapts, and empowers our day. That’s exactly what LifeNav AI is.

Developed using Google’s Gemini Pro via Vertex AI, this project transforms your high-level daily goals into a well-structured, personalized roadmap with motivation, accountability, and deep reflection.

The Problem We’re Solving

Modern productivity tools are either rigid or generic. People struggle to translate intent into actionable, time-blocked plans that align with their energy, goals, and mental state.

What if AI could understand your goals in natural language and give back not just tasks, but strategy?

Meet LifeNav AI: Your Personalized Strategy Generator

You provide:

“I want to study for my exams, go to the gym, and finish my side project.”

LifeNav AI responds with:

• Atomic tasks

• Smart scheduling

• Motivational strategy

• Reflection prompts

• Generates a structured daily plan based on your goals.

• Analyzes documents such as resumes, CVs, and research papers to extract insights and suggest improvements.

All generated using LLMs + logic pipelines to make your day feel designed.

Powered by Google Gemini

The system is built around the google.generativeai library, using the gemini-pro model to understand and respond to prompts.

## Setup

1. The project begins by installing and setting up the Google Generative AI SDK

!pip install -q -U google-generativeai
!pip install --upgrade google-generativeai

2. Then, configure the API key :

    import google.generativeai as genai
    import os
   
    GOOGLE_API_KEY = "your_api_key"
    genai.configure(api_key=GOOGLE_API_KEY)
   

3. A Gemini Pro model is instantiated for further use :

    model = genai.GenerativeModel("gemini-pro")
   

   Section 1: Structured Daily Planner

   This section generates a context-aware daily plan for users based on their goals, responsibilities, and constraints.

   Here’s a prompt that describes the user’s current life situation and goals:

    pythonCopyEditprompt = """
    You are LifeNav AI, an expert in designing daily strategies. Based on the background, goals, and constraints, create a well-structured daily planner.
    Respond in Markdown format.
   
    Background:
    - User is a final year student with projects and job applications ongoing
    - Preparing for competitive exams
    - Learning DSA and Web Dev
   
    Goals:
    - Clear exams
    - Complete projects
    - Maintain health
    """
   

   Call Gemini to generate the planner:

    pythonCopyEditresponse = model.generate_content(prompt)
    print(response.text)
   

   🗓️ What You Get: A full markdown-formatted daily plan with time slots for study, health, breaks, and deep work — personalized to your lifestyle.

   Section 2: Document Understanding — Resumes, CVs, and Papers

   Step 1: Read the Document

   Using PyMuPDF (fitz), we extract content from PDFs like resumes or research papers:

    pythonCopyEditimport fitz  # PyMuPDF
   
    def extract_text_from_pdf(file_path):
        text = ""
        with fitz.open(file_path) as doc:
            for page in doc:
                text += page.get_text()
        return text
   
    doc_text = extract_text_from_pdf("/kaggle/input/sample-resume/resume.pdf")
   

   Step 2: Ask Gemini for Insights

   Once the content is loaded, Gemini can analyze the resume:

    pythonCopyEditprompt = f"""
    You are a career mentor. Read the following resume and provide suggestions to improve it for better job prospects.
   
    Resume Content:
    {doc_text}
    """
   
    response = model.generate_content(prompt)
    print(response.text)
   

   💡 What You Get: Tailored suggestions to improve the resume, such as emphasizing achievements, using active language, and tailoring for specific roles.

   Section 3: Research Paper Analysis

   The same PDF reading and analysis method is reused to understand academic documents:

    pythonCopyEditdoc_text = extract_text_from_pdf("/kaggle/input/sample-paper/paper.pdf")
   
    prompt = f"""
    You are a research assistant. Read the following research paper and:
    1. Summarize the methodology.
    2. List 3 strengths and 3 weaknesses.
    3. Suggest one improvement.
   
    Paper Content:
    {doc_text}
    """
   
    response = model.generate_content(prompt)
    print(response.text)
   

   What You Get: Clear breakdowns of technical content methodology, critique, and even suggestions — in an understandable way.

   Section 4: Structured Output (JSON Mode)

   For integration with dashboards or analytics, Gemini is asked to return responses in structured JSON format.

   Example prompt:

    pythonCopyEditprompt = f"""
    Analyze this resume and extract the following in JSON format:
    - Name
    - Education
    - Skills
    - Experience
    - Achievements
   
    Resume Content:
    {doc_text}
    """
   
    response = model.generate_content(prompt)
    print(response.text)
   

   What You Get: A structured JSON dictionary with extracted fields. This can be used for building dashboards, auto-fill forms, or tracking progress over time.

   Bonus: Prompt Grounding & Control

   LifeNav AI uses grounded prompts to keep responses focused and aligned with user goals, while enabling multi-step reasoning — a key strength of Gemini.

   Final Thoughts

   LifeNav AI showcases the power of Generative AI in managing daily life tasks and understanding personal documents. By combining intelligent planning with document analysis, it creates a holistic co-pilot that adapts to real human needs.

   Future Improvements:

   • Add voice input and speech feedback

   • Connect with Google Calendar or Notion

   • Use Gemini 1.5 for longer context and multi-document analysis

   • Integrate with productivity dashboards

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Conclusion

This Project is a practical example of using Gemini not just to generate text, but to drive insightful planning, document parsing, and personal growth. By building a system that thinks with you, LifeNav AI is your daily life strategy co-pilot.