Nishant Bommathi

Nishant Bommathi

Building AI-Powered Solutions | Aspiring Entrepreneur


About

I am Nishant, an undergrad student majoring in computer science, I enjoy learning by working on things practically. I have worked on building projects including computer vision, Natural Language processing, Machine Learning, Web applications; I am interested in exploring how AI can be implemented or used to solve real-world problems. Currently I am working on strengthening my DSA foundations using Java while continuing to explore more about Artificial Intelligence, Machine Learning and Entrepreneurship; I also actively participate in all the technical events, workshops, and project expos to gain more real world knowledge and learn from the experts and people from the industry; I also actively contribute to the clubs and societies in my college as a volunteer and also as a core member. I am looking forward to connect with like minded people, fellow students, professionals, developers and researchers who are passionate about technology, innovations and entrepreneurship.

Skills
Python
Java
C
html
css
Computer Networks
Operating Systems
Database Management Systems
Google Cloud
aws
Firebase
TensorFlow
PyTorch
MongoDB
Product Management
Git
Github
React
Data Structures
Projects

PRIO

A Mobile app which is being built to increase the convenience in booking appointment with a doctor.

React;TypeScript;TailwindCSS;WebSpeechAPI;Node.js;Express.js;GoogleGenAISDK

Multimodal AI Tomato Plant Disease Assistant

Designed a multimodal deep learning system that combined computer vision (ResNet50), NLP (OpenAI CLIP) and tabular sensor data to accurately diagnose agricultural diseases. Built and deployed an interactive chatbot UI using Chainlit that processes real-time image uploads and environmental slider inputs, powered by a synthesized dataset of 5,000+ records.

Python
PyTorch
ResNet50
CLIP
Chainlit

Multilingual AI Agricultural Assistant

A web-based AI assistant that integrates the Google Gemini API to process complex multilingual queries and generate real-time agricultural insights as per the Weather and the soil conditions; it is also equipped with speech-to-text and text-to-speech capabilities across six regional languages to ensure seamless accessibility for farmers.

HTML;CSS;JS;API
Education

Bachelor of Technology

SR University

Jul 2024 to Jul 2028
Nishant Bommathi · DevFest Hyderabad 2026