AI-Powered Air Quality Monitoring & Prediction
An end-to-end system concept that uses sensor data and machine learning models to monitor air quality in real-time and predict pollution levels, helping make cities more breathable.
I'm a computer science student focused on cybersecurity, AI and sustainable tech. I love turning ideas into real systems — from AI-powered air quality monitoring to automation for plastic separation and smart IoT projects.
I'm Akhilesh, a 7th semester Computer Science student with a strong interest in cybersecurity, AI, and sustainable technology. I enjoy understanding systems end-to-end — from low-level concepts to user experience — and then building practical solutions.
Recently I've been exploring real-time stock prediction using ML, AI-powered air quality monitoring, and automated plastic separation using computer vision and robotics. I also have hands-on experience with IoT from my coursework and lab work.
Outside of projects, I actively participate in tech competitions like IndiaSkills and inter-college project expos, which push me to learn faster, work in teams, and present ideas clearly.
A mix of web development, Python backends, databases, IoT fundamentals and growing expertise in cybersecurity.
A mix of academic work, self-initiated experiments and competition-oriented projects.
An end-to-end system concept that uses sensor data and machine learning models to monitor air quality in real-time and predict pollution levels, helping make cities more breathable.
A planned system combining a robotic arm, conveyor mechanism and computer vision to separate reusable and non-reusable plastic, supporting scalable waste management.
A machine learning project that experiments with historical stock data and real-time feeds to forecast short-term price movements and visualize trends for users.
Concept for an Android app that uses barcode scanning to manage classroom attendance, with a backend storing logs, simplifying record-keeping for faculty.
A customizable portfolio site with an admin section to manage projects, profile details and content without touching the code, built with modern web tools.
A surveillance system concept built using Python and computer vision libraries to monitor a space, detect motion, and log events for security analysis.
I am currently a student, actively looking for internships. Here are some key experiences and opportunities.
Core subjects include Data Structures, Operating Systems, Database Management Systems, IoT, Cryptography & Network Security, with a special interest in cybersecurity and parallel computing.
Had the opportunity to discuss my tech stack (HTML, CSS, JavaScript, TypeScript, React, Next.js, MongoDB, SQL, Python Flask) and potential internship paths, motivating me to prepare seriously for industry roles.
Delivered seminars on topics like Parallel Computing & Programming Paradigms, Agile Unified Process, and Internet of Things — building strong foundations in both theory and presentation skills.
I actively take part in events that challenge my technical ability and teamwork.
Registered and preparing for IndiaSkills 2025, focusing on sharpening my skills in programming, cybersecurity, and problem-solving to compete at a higher level.
Participated in a project expo that brought together innovative projects from multiple colleges, showcasing ideas around smart systems, automation, and sustainable tech.
Regularly engage in technical events, seminars, and project showcases, which has helped me improve communication, collaboration, and the ability to explain complex topics simply.
Whether it's an internship opportunity, a collaboration, or just a tech chat about cybersecurity, AI or IoT — feel free to reach out.
I'm based in Ramanagara, Karnataka, India and usually respond fastest over email. You can also reach me on LinkedIn once you add your profile link here.
Update these placeholders with your actual email and profile links before deploying this site.