Face_Emotion_Detection
A real-time facial emotion detection web app that analyzes emotions from images or live webcam feed using a user-friendly Streamlit interface. Tech stack: Python, Streamlit, OpenCV, Pandas, NumPy, Pillow, streamlit-lottie.
Student at Meerut Institute of Engineering and Technology(MIET)
My name is Tushti Jain. I am passionate about technology, web development, and creative designing. I enjoy building user-friendly websites and learning new technical skills. I have worked on projects related to frontend and backend development, where I gained experience in JavaScript, React.js, and project presentation. I am a creative and hardworking person who likes solving problems and presenting ideas in a simple and effective way. Along with technical skills, I also focus on communication, teamwork, and continuous learning. My goal is to grow as a developer and create impactful digital experiences that are both functional and visually appealing.
B.Tech, Artificial Intelligence
2022
Bachelor of Technology, Computer Science & Engineering (Artificial Intelligence)
Expected July 2026
Cumulative GPA: 8.0/10.0; Relevant coursework: Software Engineering, Operating Systems, Algorithms, Artificial Intelligence
Intermediate, Science Stream (PCM)
SSC-2020, HSC-2022
A real-time facial emotion detection web app that analyzes emotions from images or live webcam feed using a user-friendly Streamlit interface. Tech stack: Python, Streamlit, OpenCV, Pandas, NumPy, Pillow, streamlit-lottie.
An AI-powered real-time helmet detection system using YOLO and computer vision to identify motorcyclists violating safety rules. Includes live video analysis, alert mechanisms, and OCR-based number plate recognition for automated enforcement and smart surveillance. Tech stack: Python, YOLOv8, OpenCV, EasyOCR, HTML/CSS/JS.
A web-based financial management app that helps users track expenses, monitor income, and visualize financial trends through interactive dashboards. Tech stack: Python, Tkinter, Matplotlib, CSV Storage.