V Likitha

About

Motivated Computer Science student specializing in AI/ML with hands-on experience in full-stack development, computer vision, and AI-powered mobile applications. Seeking an internship to apply React.js, Node.js, Python, YOLOv8, OpenCV, and FaceNet to build real-world products.

Experience

• UI Designer / Full Stack Intern
  JB Portals
  2024 – —

  Designed UI/UX prototypes and high-fidelity screens for enterprise web apps, including Nexus ERP and a Task Board app with drag-and-drop functionality. Collaborated directly with developers for pixel-perfect implementation; promoted to full-time role after successful internship completion based on performance.

Education

• Diploma in Computer Science Engineering
  KS Polytechnic, Bangalore
  Computer Science Engineering · 2021 – 2024
• Secondary School
  Vishwa Venkateshwara International School, Bangalore
  2020 – 2021
• Bachelor of Engineering (B.E.)
  JSS Academy of Technical Education, Bangalore
  Computer Science & Engineering (AI/ML) · 2024

Skills

• CSS <3 months
• FastAPI <3 months
• HTML <3 months
• Python <3 months
• JavaScript <3 months
• Node.js <3 months
• Django <3 months
• scikit-learn <3 months
• OpenCV <3 months
• React <3 months
• PyTorch <3 months
• Object Detection <3 months
• Expo <3 months
• Embeddings <3 months
• AI pipelines <3 months
• Face Recognition <3 months
• Cosine Similarity & TF-IDF <3 months

Tools / apps / platforms

• Amazon Web Services AWS <3 months
• Figma 2 to 5 years
• Git <3 months
• GitHub <3 months
• Linux <3 months
• MongoDB <3 months
• MySQL <3 months
• Postman <3 months
• SQLite <3 months
• VS Code <3 months

Languages

• Kannada Conversational Speak
• English Conversational Speak
• Hindi Basic Speak
• Telugu Native / Bilingual Speak

Projects

• Staff Check-In / Check-Out with Live Location Sharing
  FaceNet, OpenCV, Python, FastAPI, MongoDB, React.js, GPS

  FaceNet-based check-in/check-out system with GPS logging, FastAPI backend, and a React.js dashboard for live staff location tracking to prevent buddy punching.

• Smart Attendance System using Raspberry Pi 4
  Raspberry Pi 4, OpenCV, Python, GPIO, SQLite

  Hardware-integrated attendance system using Raspberry Pi 4 camera for real-time face detection and auto-marking attendance in SQLite with GPIO LED feedback.

• Staff Check-In / Check-Out with Live Location Sharing
  FaceNet, OpenCV, Python, FastAPI, MongoDB, React.js, GPS

  FaceNet-based check-in/check-out system with GPS logging, FastAPI backend, and a React.js dashboard for live staff location tracking to prevent buddy punching.

• Smart Attendance System using Raspberry Pi 4
  Raspberry Pi 4, OpenCV, Python, GPIO, SQLite

  Hardware-integrated attendance system using Raspberry Pi 4 camera for real-time face detection and auto-marking attendance in SQLite with GPIO LED feedback.

• Smart Veterinary Cow Identification & Recovery System
  YOLOv8, MobileNet, Siamese Network, OpenCV, PyTorch, Expo, MongoDB, Node.js

  AI-powered mobile app for cow biometric identification using nose-print recognition. YOLOv8 detects the nose in real time while MobileNet + Siamese Network compare embeddings via Cosine Similarity; includes multi-ID system and Lost Cow SOS GPS reporting.

Courses & certifications

• AWS Cloud Computing · AWS
• Computer Networks · Scaler
• Full Stack Development · JB Portals
• AWS Cloud Computing · AWS
• Computer Networks · Scaler
• Full Stack Development · JB Portals

🏆 Achievements & awards

• Participated in Navotaon Hackathon

  Participated in Navotaon Hackathon at JSS Academy of Technical Education, Bangalore.

• Secured full-time job offer after internship at JB Portals

  Received a full-time job offer based on outstanding performance during internship.

• Built 5+ real-world projects

  Built projects spanning AI/ML, full-stack web, mobile, and hardware domains.

• Top academic performer in Diploma

  Achieved CGPA 9.89/10 in Diploma studies.