AKSHATRAI

COMPUTER SCIENCE STUDENT
Code that thinks • Systems that scale

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ABOUT ME

MY STORY

Curious mind and code enthusiast, driven by a passion for intelligent systems.

On a mission to teach machines to think and solve real problems—exploring the frontier of AI, one neural net at a time.

POWER-UPS

PROJECTS

Driver Sentinel

Oct 2024 - Jan 2025

AI-driven solution for seatbelt and drowsiness detection with 98% accuracy, reducing accident risks by 70%.

TECH STACK:

YOLOOpenCVDeep LearningTensorFlowComputer Vision

ACHIEVEMENTS:

  • 98% accuracy in detection
  • 70% reduction in accident risks
  • 50% enhanced user interaction
  • 40% reduced setup time

Plant Shield

May 2024 - July 2024

Deep learning system for plant disease detection using CNNs, improving early diagnosis by 30%.

TECH STACK:

Deep LearningTensorFlowKerasStreamlit

ACHIEVEMENTS:

  • 30% increase in early diagnosis rate
  • 25% boost in agricultural productivity
  • High accuracy disease detection
  • User-friendly Streamlit interface

BuddyMind

April 2025 - May 2025

Empathetic mental health chatbot powered by Google's Gemini API, designed to converse with a comforting, structured tone—just like me.

TECH STACK:

StreamlitGoogle Gemini APIPythonLLM

ACHIEVEMENTS:

  • Mimics my conversational style to offer personalized empathy
  • Structured JSON-based chat with emotionally intelligent responses
  • Supports Hindi and English with smooth switching
  • Clearly defined mental health scope and friendly UI/UX

Chat Analyzer

July 2024 - August 2024

Comprehensive chat data visualization tool providing insights into user behavior and communication patterns.

TECH STACK:

PythonPandasMatplotlibNLP

ACHIEVEMENTS:

  • 40% more insights into user behavior
  • Advanced activity mapping
  • Statistical analysis capabilities
  • Word cloud generation

Brush Splash

July 2024 - August 2024

Interactive drawing application using hand gestures with real-time drawing and erasing capabilities.

TECH STACK:

PythonOpenCVComputer VisionImage ProcessingMediapipe

ACHIEVEMENTS:

  • 20% enhanced user engagement
  • Real-time gesture recognition
  • 35% improved user creativity
  • Customizable brush and color options

Attendance Automation

Nov 2023 - Jan 2024

Face recognition system for automated attendance with Firebase integration and Tkinter GUI.

TECH STACK:

OpenCVFirebaseFace RecognitionTkinter

ACHIEVEMENTS:

  • 95% attendance accuracy improvement
  • 40% enhanced record accuracy
  • 30% reduced data entry time
  • Low-light environment compatibility

SKILLS

LANGUAGES

CC++JavaPythonJavaScriptHTMLCSSBashScript

TECH STACK

Frontend DevelopmentDSAMachine LearningDeep LearningGenerative AIGitGitHubLangChainSQLLinux

CONTACT

LET'S CONNECT AND CREATE SOMETHING AMAZING TOGETHER!

FEEDBACK

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