Projects
Age detection tool developed using TensorFlow and Keras with convolutional neural networks (CNNs) to predict a person's age from a photo.
Challenges: Handling a large dataset of pixelated images, transforming them into a suitable format for training, and fine-tuning the neural network model to achieve accurate predictions.
Results: Successfully developed a functional age prediction model, gaining a deeper understanding of CNNs, image processing, and model optimization techniques. Improved ability to work with large datasets and deploy deep learning models in cloud environments like Colab or AWS.
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This Unity project combines AI with physics-based control to auto-navigate a spaceship through space, using reinforcement learning to autonomously avoid asteroids, destroy threats with missiles, and engage UFOs.
Challenges: Training the AI to predict and control movement with physical forces, handling real-time decision-making for dodging obstacles and firing missiles, and ensuring realistic physics-based spaceship and missile behavior.
Results: Successfully developed an autonomous navigation AI that adapts to space hazards, effectively dodging or destroying asteroids and pursuing UFOs with guided missiles. Gained experience in AI reinforcement learning, physics-based control, and real-time decision-making in complex environments.
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Mobile app developed with Flutter to help users cook more efficiently. It allows users to find and save recipes, create shopping lists, and follow step-by-step instructions using voice commands for hands-free navigation.
Challenges: Integrating accurate AI voice recognition with limited resources and creating a user-friendly interface that works smoothly across devices.
Results: Improved hands-free interaction and gained experience in responsive UI design and API integration for better usability.
Web application developed with React and Express.js for restaurant and reservation management, featuring an interactive UI for designing restaurant layouts, online chat functionality, and deployed in AWS.
Challenges: Developing an intuitive map design interface and ensuring reliable real-time communication through the chat system.
Results: Successfully created a user-friendly layout tool and improved skills in handling real-time features, as well as AWS deployment and cloud management.