{"id":31070924,"url":"https://github.com/djdhairya/navmind","last_synced_at":"2026-05-07T15:32:58.713Z","repository":{"id":306713684,"uuid":"1027002182","full_name":"djdhairya/NavMind","owner":"djdhairya","description":null,"archived":false,"fork":false,"pushed_at":"2025-07-27T05:17:50.000Z","size":16,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-15T23:46:55.039Z","etag":null,"topics":["agent","agentic-ai","crewai","environment","groq-api","langchain","llm","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/djdhairya.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-07-27T05:13:23.000Z","updated_at":"2025-07-27T05:20:01.000Z","dependencies_parsed_at":"2025-07-27T07:22:15.976Z","dependency_job_id":"cac89b7d-d086-46c9-8c67-f95d4098eef2","html_url":"https://github.com/djdhairya/NavMind","commit_stats":null,"previous_names":["djdhairya/navmind"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/djdhairya/NavMind","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/djdhairya%2FNavMind","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/djdhairya%2FNavMind/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/djdhairya%2FNavMind/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/djdhairya%2FNavMind/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/djdhairya","download_url":"https://codeload.github.com/djdhairya/NavMind/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/djdhairya%2FNavMind/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":281222704,"owners_count":26464003,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-27T02:00:05.855Z","response_time":61,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["agent","agentic-ai","crewai","environment","groq-api","langchain","llm","streamlit"],"created_at":"2025-09-15T23:44:26.547Z","updated_at":"2025-10-27T06:02:44.501Z","avatar_url":"https://github.com/djdhairya.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# 🧠 NavMind\n\n**NavMind** is an **agentic AI-powered trip planner** that uses **CrewAI**, **Groq LLMs**, and **LangChain** to dynamically generate customized travel plans based on your preferences. Whether you're planning a leisure vacation, an adventurous escape, or a cultural tour, NavMind uses specialized agents to craft the perfect itinerary, city guide, and budget—all in real time.\n\n---\n\n## ✨ Features\n\n- 🔍 **City Recommendation**: Based on travel type, interests, and season\n- 🧠 **AI Agents**: Modular roles like city selector, itinerary planner, and budget manager\n- 🌆 **Destination Research**: Attractions, culture, cuisine, tips, and hidden gems\n- 🗓️ **Smart Itinerary Generator**: Day-by-day plans with meals, transport, and activities\n- 💸 **Budget Breakdown**: Detailed cost estimates in INR, based on user-selected range\n- 📄 **Download Trip Plan**: Save your personalized plan in text format\n\n---\n\n## 🧠 Agentic Design\n\nNavMind uses a **multi-agent architecture** via **CrewAI**:\n\n| Agent | Role |\n|-------|------|\n| 🏙 **City Selector Agent** | Recommends cities aligned with your preferences |\n| 🧭 **Local Expert Agent** | Provides local travel insights for chosen city |\n| 🧳 **Trip Planner Agent** | Builds a daily itinerary |\n| 💰 **Budget Manager Agent** | Calculates an optimized trip budget |\n\nEach agent has a distinct role, runs independently, and collaborates to produce a cohesive trip plan.\n\n---\n\n## 🏗️ Tech Stack\n\n- **Frontend**: Streamlit\n- **LLM Framework**: LangChain + Groq (LLaMA 3.3 70B)\n- **Agents**: CrewAI\n- **Environment Config**: dotenv\n\n---\n\n## 🚀 How to Run\n\n### 1. Clone the Repository\n\n```bash\ngit clone https://github.com/djdhairya/NavMind.git\ncd NavMind\n```\n\n### 2. Set Up Environment\n\n```bash\npython -m venv venv\nOn Windows: venv\\Scripts\\activate\n\n```\n\n### 3. Add `.env` File\n\nCreate a `.env` file in the root directory:\n\n```\nGROQ_API_KEY=your_groq_api_key_here\n```\n\n### 4. Launch the App\n\n```bash\nstreamlit run app.py\n```\n\nVisit [http://localhost:8501](http://localhost:8501) in your browser.\n\n---\n## 📁 Project Structure\n\n```\n├── app.py              \n├── trip_agent.py       \n├── .env                \n└── README.md           \n```\n## 🔧 Configuration Notes\n\n- Budget ranges are interpreted from INR to USD internally\n- City can be selected automatically or entered manually\n- Default exchange rate: `1 USD = ₹83` (can be modified in `app.py`)\n\n---\n\n## 🧠 Powered By\n\n- [Streamlit](https://streamlit.io)\n- [Groq](https://groq.com)\n- [CrewAI](https://docs.crewai.com)\n- [LangChain](https://www.langchain.com)\n- Model: **LLaMA 3.3 70B Instruct** (via Groq)\n\n---\n\n## 🧾 Example Output\n\n- **Recommended Cities**: Based on preferences like “Adventure in Summer”\n- **Itinerary Plan**: 7-day schedule with activities and meals\n- **Budget Table**: INR conversion of AI-estimated expenses\n- **Download**: Export as `.txt` for offline use\n\n---\n\u003cimg width=\"1910\" height=\"915\" alt=\"Screenshot 2025-07-27 101219\" src=\"https://github.com/user-attachments/assets/07fea1cc-7801-4a32-8f8b-d70d4aa24f36\" /\u003e\n\u003cimg width=\"1919\" height=\"914\" alt=\"Screenshot 2025-07-27 101243\" src=\"https://github.com/user-attachments/assets/67c526a7-2092-4ddf-bdd3-8bb2097279bc\" /\u003e\n\u003cimg width=\"1353\" height=\"184\" alt=\"Screenshot 2025-07-27 101313\" src=\"https://github.com/user-attachments/assets/7e1cb1e2-50ae-4906-9d68-e3cbce5c220c\" /\u003e\n\u003cimg width=\"1366\" height=\"671\" alt=\"Screenshot 2025-07-27 101325\" src=\"https://github.com/user-attachments/assets/4dee0f03-894b-4bc1-b47a-7669860e51e8\" /\u003e\n\u003cimg width=\"1381\" height=\"835\" alt=\"Screenshot 2025-07-27 101409\" src=\"https://github.com/user-attachments/assets/4b0b9f56-dea9-4ed8-b1dd-2f6b680ef6d0\" /\u003e\n\u003cimg width=\"1287\" height=\"678\" alt=\"Screenshot 2025-07-27 101439\" src=\"https://github.com/user-attachments/assets/c5573d23-1eb1-49d5-a887-f98253168200\" /\u003e\n\n\n\n\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdjdhairya%2Fnavmind","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdjdhairya%2Fnavmind","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdjdhairya%2Fnavmind/lists"}