Niharika Namala

Enthusiastic and detail-oriented computer science undergraduate with a strong foundation in technology, and a keen interest in computer vision and automation. Passionate about solving real-world challenges through innovation and continuous learning. Highly motivated, quick to adapt, and eager to contribute meaningfully to dynamic, growth-oriented internship roles.

• Industrial Training Certificate - Autonomous Vehicle Control Project

IndusTech Solutions Pvt Limited|16/2023-15/2024

• Hackathon Innoquest Certification-Emotion Detection For Autism Support

• Fire detection system - A smoke detector is a device that senses smoke, typically as an indicator of fire. Fire alarm systems, known as smoke alarms, generally issue a local audible or visual alarm upon detection of smoke. Generally, a fire alarm consists of smoke detectors with a basic assumption that smoke will be generated by the fire. If we detect smoke, then the fire is detected. Even if there is a fire, the smoke may be generated quite later after burning the surroundings. We will detect the fire using Arduino Uno, which is interfaced with a temperature sensor and buzzer. The temperature sensor senses the heat, and the smoke sensor senses any smoke generated due to burning or fire. The buzzer connected to the Arduino gives us an alarm indication
• Plant leaf detection - Leaf shape description is the key downside in leaf identification. Up to now, several form options have been extracted to explain the leaf form, however, there's no correct application to classify the leaf once capturing its image and identifying its attributes. A number of the classification techniques used are fuzzy logic, principal component analysis, and k-nearest neighbors classifier, and the main purpose of the proposed system is to detect the diseases of plant leaves by using feature extraction methods, where features such as shape, color, and texture are taken into consideration, and the detection accuracy is enhanced with the proposed algorithm (CNN) The proposed method is fully automatic, while existing methods require user input to select the best

• State-level kabaddi player at the school and diploma levels developed strong collaboration skills, leadership qualities, and physical and mental resilience
• participant of Srujana TechFest during diploma ,presenting a project on Fire Detection System showcasing innovation and technical skills