{"id":20754018,"url":"https://github.com/chandima2000/career-path-recommendation-system","last_synced_at":"2025-09-27T21:32:07.458Z","repository":{"id":250483097,"uuid":"834585427","full_name":"chandima2000/career-path-recommendation-system","owner":"chandima2000","description":"AI powered career path recommendation system","archived":false,"fork":false,"pushed_at":"2024-12-14T20:51:58.000Z","size":17342,"stargazers_count":7,"open_issues_count":1,"forks_count":5,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-09T10:52:26.020Z","etag":null,"topics":["ai","django","faiss","gemini","langchain","machine-learning","nlp","reactjs"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/chandima2000.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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}},"created_at":"2024-07-27T18:05:36.000Z","updated_at":"2025-03-16T13:23:35.000Z","dependencies_parsed_at":"2024-12-14T21:37:55.834Z","dependency_job_id":null,"html_url":"https://github.com/chandima2000/career-path-recommendation-system","commit_stats":null,"previous_names":["chandima2000/career-path-recommendation-system"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/chandima2000/career-path-recommendation-system","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chandima2000%2Fcareer-path-recommendation-system","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chandima2000%2Fcareer-path-recommendation-system/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chandima2000%2Fcareer-path-recommendation-system/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chandima2000%2Fcareer-path-recommendation-system/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/chandima2000","download_url":"https://codeload.github.com/chandima2000/career-path-recommendation-system/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chandima2000%2Fcareer-path-recommendation-system/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":277295918,"owners_count":25794402,"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":"2025-09-27T02:00:08.978Z","response_time":73,"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":["ai","django","faiss","gemini","langchain","machine-learning","nlp","reactjs"],"created_at":"2024-11-17T09:15:53.031Z","updated_at":"2025-09-27T21:32:06.483Z","avatar_url":"https://github.com/chandima2000.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Career Path Recommendation System\n\nThis project is a Career Path Recommendation System built with a React frontend and a Django backend. The system is implemented in four main steps:\n\n1. **User Registration and Quiz**\n2. **Machine Learning Prediction**\n3. **Sentiment Analysis (NLP)**\n4. **Chatbot Assistant**\n5. **Voice Assistant**\n\n## Features\n\n1. **User Registration and Quiz**\n   - After successful registration, the user is redirected to the quiz page.\n   - The user answers 19 quizzes.\n   - The user is automatically redirected to the prediction page to see their career job role based on their answers.\n\n2. **Machine Learning Prediction**\n   - The prediction is made using a machine learning model.\n   - The model suggests a career path for the user based on their quiz answers.\n\n3. **Sentiment Analysis**\n   - If the user is not satisfied with the prediction, they can provide feedback.\n   - An NLP model predicts whether the feedback is positive or negative using the NLTK library.\n   - The sentiment (positive or negative) is displayed to the user.\n\n4. **Chatbot and Voice Bot**\n   - The chatbot responds to custom data queries.\n   - Implemented using Google Gemini API, LangChain, and FAISS as the Vector-DB.\n   - Google Gemini is used for word embeddings.\n   - The voice bot is implemented with the React Speech Recognition library, FAISS DB, LangChain, and Gemini.\n\n## Technologies Used\n\n- **Frontend:**\n  - React\n  - React Speech Recognition\n\n- **Backend:**\n  - Django\n  - DRF\n  - NLTK\n  - LangChain\n  - FAISS\n  - Google Gemini API\n\n- **Database:**\n  - FAISS (Vector-DB)\n  - SQL\n\n## Installation\n\n### Prerequisites\n\n- Node.js and npm\n- Python 3.x and pip\n- Django\n- NLTK\n\n### Backend Setup\n\n1. Clone the repository:\n    ```bash\n    git clone https://github.com/chandima2000/career-path-recommendation-system.git\n    cd career-path-recommendation-system/backend\n    ```\n\n2. Create a virtual environment and activate it:\n    ```bash\n    python -m venv venv\n    venv\\Scripts\\activate\n    ```\n\n3. Install the dependencies:\n    ```bash\n    pip install -r requirements.txt\n      ```\n4. Create .env file inside backend folder:\n\n   GOOGLE_API_KEY = \"YOUR_API_KEY\"\n\n5. Run the Django server:\n    ```bash\n    python manage.py migrate\n    python manage.py runserver\n    ```\n\n### Frontend Setup\n\n1. Navigate to the frontend directory:\n    ```bash\n    cd ../frontend\n    ```\n\n2. Install the dependencies:\n    ```bash\n    npm install\n    ```\n\n3. Run the React development server:\n    ```bash\n    npm run dev\n    ```\n\n## Usage\n\n1. Open your browser and navigate to `http://localhost:5173`.\n2. Register as a new user.\n3. Complete the quiz to receive a career path recommendation.\n4. Provide feedback on the prediction to see the sentiment analysis.\n5. Use the chatbot for custom queries.\n6. Interact with the voice bot for voice commands.\n\n## Contributing\n\nContributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.\n\n\n\"# Carrer-Recommendation-System\" \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchandima2000%2Fcareer-path-recommendation-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchandima2000%2Fcareer-path-recommendation-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchandima2000%2Fcareer-path-recommendation-system/lists"}