{"id":28929539,"url":"https://github.com/thogaruchesti-hemanth/guessing_numbers","last_synced_at":"2026-04-07T14:02:05.515Z","repository":{"id":191335635,"uuid":"614278981","full_name":"Thogaruchesti-hemanth/guessing_numbers","owner":"Thogaruchesti-hemanth","description":"An AI-powered number guessing game built with Python and Keras. The model is trained on a Kaggle dataset using a neural network with categorical_crossentropy loss and the Adam optimizer to classify and predict the correct number. A fun and educational project showcasing basic deep learning for multi-class classification.","archived":false,"fork":false,"pushed_at":"2025-06-16T17:27:05.000Z","size":6,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-01T13:08:14.253Z","etag":null,"topics":["ai-project","artificial-intelligence","beginner-project","classification","deep-learning","educational-project","kaggle-dataset","keras","machine-learning","neural-networks","number-gussing","python","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/Thogaruchesti-hemanth.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"License","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":"2023-03-15T09:11:32.000Z","updated_at":"2025-06-16T17:27:09.000Z","dependencies_parsed_at":"2023-08-29T11:02:20.340Z","dependency_job_id":"fdd8e226-e75c-4a51-9c3d-ef54d0f458b6","html_url":"https://github.com/Thogaruchesti-hemanth/guessing_numbers","commit_stats":null,"previous_names":["thogaruchesti-hemanth/guessing_numbers"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Thogaruchesti-hemanth/guessing_numbers","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Thogaruchesti-hemanth%2Fguessing_numbers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Thogaruchesti-hemanth%2Fguessing_numbers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Thogaruchesti-hemanth%2Fguessing_numbers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Thogaruchesti-hemanth%2Fguessing_numbers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Thogaruchesti-hemanth","download_url":"https://codeload.github.com/Thogaruchesti-hemanth/guessing_numbers/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Thogaruchesti-hemanth%2Fguessing_numbers/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31515151,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-07T03:10:19.677Z","status":"ssl_error","status_checked_at":"2026-04-07T03:10:13.982Z","response_time":105,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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-project","artificial-intelligence","beginner-project","classification","deep-learning","educational-project","kaggle-dataset","keras","machine-learning","neural-networks","number-gussing","python","tensorflow"],"created_at":"2025-06-22T14:30:54.073Z","updated_at":"2026-04-07T14:02:05.508Z","avatar_url":"https://github.com/Thogaruchesti-hemanth.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🎯 AI Number Guessing Game\n\nAn AI-powered number guessing game built using Python and Keras. The model is trained on a dataset from Kaggle to predict numbers based on input patterns. This project demonstrates a simple but effective use of deep learning for multi-class classification.\n\n---\n\n## 📌 Features\n\n- 🧠 Neural network trained using Keras \u0026 TensorFlow\n- 📊 Categorical classification using `categorical_crossentropy`\n- ⚡ Optimized with Adam optimizer\n- 🔢 Predicts numbers based on dataset patterns\n- 🧪 Educational and beginner-friendly ML project\n\n---\n\n## 🗂️ Dataset\n\nThe dataset used for training was sourced from [Kaggle](https://www.kaggle.com/). Make sure to download and place it in the `data/` directory.\n\n\u003e 📁 Example Path: `./data/your_dataset.csv`\n\n---\n\n## 🛠️ Installation \u0026 Setup\n\n1. **Clone the repository:**\n\n```bash\ngit clone https://github.com/your-username/ai-number-guessing-game.git\ncd ai-number-guessing-game\n```\n## 🛠️ Installation \u0026 Setup\n\n### Install dependencies:\n\n```bash\npip install -r requirements.txt\n```\n### Run the training script \n\n```bash\npython train.py\n```\n### Make predictions (after training):\n\n```bash\npython predict.py\n```\n\n## 📈 Model Summary\n\n- **Input Layer:** Based on dataset features  \n- **Hidden Layers:** Dense layers with activation functions  \n- **Output Layer:** Softmax for multi-class classification  \n- **Loss Function:** `categorical_crossentropy`  \n- **Optimizer:** `adam`  \n- **Metrics:** `accuracy`\n---\n\n## 📷 Demo *(Optional)*\n\nAdd a screenshot or a short CLI video/gif showing predictions, if available.\n\n---\n\n## 🤖 Tech Stack\n\n- Python  \n- TensorFlow / Keras  \n- NumPy / Pandas  \n- Matplotlib *(optional for visualization)*\n\n---\n\n## 🚀 Future Improvements\n\n- Add a Streamlit web UI for user interaction  \n- Improve dataset and model accuracy  \n- Save/load model using `model.save()` and `load_model()`\n\n---\n\n## 🧑‍💻 Author\n\n**Your Name**  \n📧 saihemanth225@gmail.com  \n🌐 [portfolio-link](https://protfolio-oa5n-git-update-9e2e5a-thogaruchestihemanths-projects.vercel.app/)\n\n---\n\n## ⭐ License\n\nThis project is licensed under the **MIT License**.\n\n---\n\n## 💬 Need Help?\n\nLet me know if:\n\n- You want to add your actual Kaggle dataset link  \n- You want a sample `requirements.txt` file  \n- You want the code files (`train.py`, `predict.py`) to match this README\n\nI can generate them for you too.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthogaruchesti-hemanth%2Fguessing_numbers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthogaruchesti-hemanth%2Fguessing_numbers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthogaruchesti-hemanth%2Fguessing_numbers/lists"}