Vidish Bijalwan
I am an AI/ML enthusiast and an aspiring AI Security Specialist currently in my second year of B.Tech, specializing in Artificial Intelligence and Machine Learning. My passion lies in developing innovative AI systems that can enhance security and functionality. I thrive in collaborative environments like hackathons, where I blend creativity with technology to deliver impactful solutions.
About Me
Core Skills
I am an AI/ML enthusiast and an aspiring AI Security Specialist currently in my second year of B.Tech, specializing in Artificial Intelligence and Machine Learning at a university in Dehradun.
My passion lies in developing innovative AI systems that can enhance security and functionality. I thrive in collaborative environments like hackathons, where I blend creativity with technology to deliver impactful solutions.
I have represented my college at the North Zone Innovation Competition, showcasing my innovation and problem-solving capabilities. I regularly participate in hackathons and engage with tech communities to explore innovative solutions.
Education
University in Dehradun
Skills & Expertise
My technical toolkit spans AI/ML and web development, allowing me to build intelligent, user-friendly applications.
Python
TensorFlow
PyTorch
React
Next.js
Node.js
Computer Vision
NLP
Data Analysis
Machine Learning
Deep Learning
SQL
Projects
A series of projects focused on applying AI and ML technologies across various domains
Traffic Flow Optimization
Developed a web app to optimize traffic flow using graph algorithms deployed on Streamlit. Created visualization tools to analyze traffic patterns and suggest optimal routes.
Customer Churn Prediction
Built an AI model to forecast customer churn and revenue trends for smarter business decisions. Implemented machine learning algorithms to analyze customer behavior patterns.
Stone-Mine Classification
Developed a system to classify stones and mines using machine learning. Used sonar data to train models that can accurately distinguish between rocks and mines underwater.
AI-Powered Social Platform
Created a smarter, AI-powered social platform with dynamic user interactions. Implemented recommendation systems and content moderation using machine learning.
House Price Prediction
This is an interactive web application that predicts house prices based on user inputs like area, number of bedrooms, bathrooms, and other house features. It uses a Random Forest Regressor model trained on a housing dataset and is deployed using Streamlit for an interactive user interface.
Sign Language Translator
Used Computer Vision and NLP to translate sign language into speech for better accessibility. Developed models that can recognize hand gestures and convert them to text and speech.
Blood Donation Platform
Built an intelligent platform to streamline blood donation processes. Implemented matching algorithms to connect donors with recipients efficiently.
Healthcare Disease Prediction
Designed a healthcare tool to provide early disease prediction using ML models. Analyzed medical data to identify patterns and risk factors for various health conditions.
Experience & Achievements
My journey in innovation competitions, research, and collaborative tech environments
North Zone Innovation Competition
College Representative
Represented college at the North Zone Innovation Competition, showcasing innovation and problem-solving capabilities.
Key Achievements
- Developed and presented innovative AI solutions for real-world problems
- Collaborated with team members to create a comprehensive project that received recognition
- Implemented machine learning algorithms to analyze and predict patterns in complex datasets
- Received special mention for technical implementation and innovative approach
Hackathon Participant
Various Tech Communities
Regularly participates in hackathons and engages with tech communities to explore innovative solutions.
Key Achievements
- Collaborated with diverse teams to develop solutions under time constraints
- Applied AI and ML technologies to solve real-world problems
- Networked with industry professionals and fellow enthusiasts
- Gained hands-on experience with cutting-edge technologies
- Secured 2nd place in the college-level coding competition
AI Research Project
University Research Lab
Contributing to research on AI applications in cybersecurity, focusing on anomaly detection in network traffic.
Key Achievements
- Implemented neural network models for detecting unusual patterns in network data
- Collaborated with senior researchers to refine methodologies
- Presented findings at departmental research symposium
- Co-authored a research paper currently under review
What People Say
Vidish is an exceptional developer with a deep understanding of both frontend and AI technologies. His ability to create intuitive interfaces while implementing complex algorithms is remarkable.
Alex Johnson
CTO at TechCorp
Working with Vidish was a pleasure. His attention to detail and problem-solving skills made our project a success. I was particularly impressed by his knowledge of machine learning integration.
Sarah Williams
Lead Developer at WebSolutions
Vidish's contributions to our research project were invaluable. He quickly grasped complex concepts and implemented efficient solutions that exceeded our expectations.
Michael Chen
AI Research Director
Get In Touch
Have a project in mind or want to discuss potential opportunities? Feel free to reach out!
Contact Information
Location
Dehradun, India
Connect With Me
Follow me on social media or check out my work on GitHub.
Quick Response
24h
Response Time
100%
Satisfaction