Sri Ram Jawahar Vennala

Analytical and insightful Data Analyst known for productivity and efficiency in task completion. Specialize in data visualization, statistical analysis, and predictive modeling. Excel in problem-solving, critical thinking, and communication, ensuring successful project outcomes and team collaboration.

Face Mask Detection

• Developed a machine learning-based face mask detection system for real-time monitoring.
• Trained a Convolutional Neural Network (CNN) on a dataset of masked and unmasked faces for accurate classification.
• Used OpenCV for face detection and TensorFlow/Keras for model training and deployment.
• Implemented the system on a Raspberry Pi with a camera module for real-time detection.
• Integrated alert mechanisms to notify users or authorities when a person is not wearing a mask.
• Designed the system for use in public spaces, offices, and healthcare facilities to ensure safety compliance.

Speaking System For Mute People Using Raspberry PI

• Developed a speech assistance system for mute individuals using Raspberry Pi.
• Implemented text-to-speech (TTS) conversion using eSpeak or Google TTS to generate voice output.
• Designed a user-friendly interface for input via a touchscreen, keyboard, or predefined symbols.
• Integrated optional gesture recognition using machine learning for enhanced accessibility.
• Deployed the system in real-time to help non-verbal individuals communicate effectively.
• Designed for use in public places, healthcare, and personal assistance applications.

Automatic Railway Gate Controller Using Arduino

• Developed an automatic railway gate control system using Arduino to enhance safety and reduce human intervention.
• Utilized IR sensors to detect approaching and departing trains for automated gate operation.
• Programmed Arduino to control servo motors for opening and closing the gate based on sensor inputs.
• Integrated warning signals such as LED indicators and buzzers to alert pedestrians and vehicles.
• Improved efficiency by reducing manual gate operation delays and preventing accidents.
• Designed the system for railway crossings to enhance safety and streamline traffic management.