Neha Tomar

I’m a final-year Computer Science student with a strong passion for solving real-world problems through technology. My journey began with curiosity for how systems work and grew into a full-fledged commitment to software development, UI/UX design, and building impactful digital solutions.

One of my most exciting projects was a Plant Disease Detection system trained on 55,000+ images across 14 crops and 39 diseases. I implemented this using deep learning models like CNN, ResNet18, MobileNetV2, and EfficientNetB0, leveraging tools such as Python, PyTorch, Flask, and Google Colab.

Developed a VS Code AI Chat Assistant Extension using TypeScript, React, Node.js, and WebView API to enable context-aware coding assistance with file-aware AI chat (up to 1MB), Markdown/code rendering, and image captioning via Hugging Face BLIP API.
• Integrated OpenRouter (free GPT API) for real-time text generation, enabling 12+ features including @filename references, inline previews, and smart content-aware routing.

I have a solid understanding of Computer Science fundamentals including Data Structures and Algorithms, DBMS, Operating Systems, and Computer Organization. I actively participate in coding challenges and enjoy breaking down complex problems into scalable, efficient solutions.

With experience in frontend technologies (HTML, CSS, JavaScript) and a growing interest in backend development and system design, I aim to become a well-rounded full-stack developer. I’m also deeply interested in user experience design and enjoy bringing ideas to life through clean, responsive interfaces.