Hands-on experience building production-grade apps, competing in hackathons, and academic foundations.
A look at the tools used to build projects.
Competitive building events where I designed and engineered solutions under tight timelines.

I am proud to share that I successfully led Team Brainwave Tech during CanHack 2026, hosted by the University of Canberra in association with The Institution of Engineers and Scientists (IoES). Representing our team on this international stage was a significant milestone in our engineering journey. Participating in a high-stakes hackathon tests more than just technical prowessโit challenges your ability to lead, adapt strategies in real-time, and maintain cohesion under pressure. The experience provided invaluable insights into global engineering standards and collaborative problem-solving. ๐

Odoo x Parul University Hackathon 2026 is a national-level coding marathon where students and tech enthusiasts build innovative solutions on the Odoo platform. Teams of up to 4 members competed in a virtual round followed by a 24-hour on-campus final round at Parul University, with prizes, certificates, and possible career opportunities for top performers.

The hackathon at Lakshya 2.0 TechFest LDCE 2026 is เคคเคฐเฅเคShaastra 2k26 (TarkShastra), a 24-hour national-level competition held at L.D. College of Engineering, Ahmedabad with the theme "Design ยท Decode ยท Dominate." It brought together 100+ teams from 100+ colleges across India to compete for a โน1,78,000+ prize pool across six tech tracks including AI/ML, WEB3, Sustainable Tech, and FinTech. Participants first competed in an online aptitude quiz covering logical reasoning, coding/DSA, and product thinking, then advanced to an offline grand finale where they ideated and built fully working solutions to real-world problem statements revealed at the opening ceremony, with teams of 1โ4 members allowed to participate.

At our college hackathon, our team of 4 built KissanSahyog an AI-powered platform that helps Indian farmers make smarter decisions about their crops. The idea was simple: a farmer shouldn't need to be a data scientist to know why their crops are failing or what to grow next season. So we built something that does the heavy lifting for them. Here's what KissanSahyog can do: ๐ธ Take a photo of a diseased plant and get an instant diagnosis with a full treatment plan in English, Hindi, or Gujarati. ๐ Predict crop yield and explain exactly which factors (rainfall, soil nutrients, temperature) are responsible not just a number, but a reason. ๐ฑ Recommend the right crop and fertilizer for your land based on your actual soil composition. ๐ฐ๏ธ View your field's health from satellite imagery using live NDVI maps via Sentinel-Hub. The best part? You only need to share your GPS location. Everything else soil data, weather, satellite readings is fetched automatically. On the technical side, we built 4 custom ML models and open-sourced all of them on Hugging Face: โข ArogyaDrishti: Disease detection using ResNet50 + DenseNet121 (PyTorch) โข Praapthi: Yield prediction with Explainable AI (XGBoost) โข Bijamitra: Crop recommendation based on soil intelligence โข Poshan: Fertilizer guidance using real N-P-K analysis Data comes from Google Earth Engine (SoilGrids), NASA POWER API, Open-Meteo, and Sentinel-Hub. The stack: FastAPI ยท Next.js 15 ยท TailwindCSS ยท Supabase ยท Docker ยท Gemini AI

I participated in the India AI Impact Buildathon at the AI Impact Summit 2026, alongside 40,000+ innovators across India. During the hackathon, I built Agentic Honey-Pot โ an AI-powered threat intelligence API to detect scams, phishing, and fraudulent messages. Key Features ๐ Multi-Agent Orchestration 7 specialized AI agents analyze suspicious messages. ๐ค Scam Classification Using DistilBERT to classify messages into 10+ scam types (Phishing, Advance Fee, Tech Support, etc.). ๐ฏ Threat Scoring Generates a 0โ100 threat score with severity levels from Low โ Critical. ๐ต๏ธ Intent Inference Explains the attackerโs likely motivation in plain language. ๐ Tech Stack FastAPI โข PostgreSQL โข Hugging Face Transformers Scam communications are increasing in volume and sophistication. Building tools to detect and understand these threats is critical.

๐ Participated in SnowHackIPEC HackShastra Built UrbanSense โ a smart urban issue detection system aimed at improving city monitoring and response. ๐น Designed full-stack architecture ๐น Implemented intelligent detection system ๐น Focused on scalable and practical urban solutions

Participating in the Odoo x Adani Hackathon 2026 (24-hour hackathon) was an intense and eye-opening experience for me. Although we didnโt win, this hackathon gave me something even more valuable: real learning. For 24 hours, we coded, brainstormed, debugged, failed, improved, and learned without sleep but with full dedication. This was one of the first times I truly understood how real-world coding works under pressure, deadlines, and teamwork. I discovered many of my own mistakes in logic building, time management, communication, and implementation. Instead of feeling disappointed, I see these mistakes as stepping stones toward becoming a better developer. Working with my teammates taught me collaboration, problem-solving, and how ideas turn into working solutions when everyone contributes.

Developed UrbanSense, an AI-powered smart city platform during the COGNIVIA Hackathon. Designed to bridge the gap between citizens and municipal authorities. Features AI-based complaint classification, severity detection, and smart routing. Enables real-time issue reporting, tracking, and resolution monitoring. Includes community engagement through rewards, rankings, and local groups. Aims to improve transparency, accountability, and efficiency in civic issue management.

Proud to present our project โ๐ฆ๐บ๐ฎ๐ฟ๐ ๐ง๐ผ๐๐ฟ๐ถ๐๐ ๐ฆ๐ฎ๐ณ๐ฒ๐๐ ๐ ๐ผ๐ป๐ถ๐๐ผ๐ฟ๐ถ๐ป๐ด & ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ ๐ฆ๐๐๐๐ฒ๐บโ, developed by our team ๐ฆ๐ฎ๐ณ๐ฒ๐๐ผ๐ฟ๐ถ๐๐ผ๐ป (๐ง๐ฒ๐ฎ๐บ ๐๐: ๐ฒ๐ฌ๐ณ๐ฐ๐ฎ) for the Smart India Hackathon 2025 under the theme: ๐ฏ Student Innovation: Swadeshi for Atmanirbhar Bharat โ Travel & Tourism Our project aims to make travel in India safer, smarter, and more secure by leveraging AI, Geo-Fencing, and Blockchain to build a unified digital safety ecosystem for tourists. ๐ง Project Highlights โข ๐๐-๐ฏ๐ฎ๐๐ฒ๐ฑ ๐ฎ๐ป๐ผ๐บ๐ฎ๐น๐ ๐ฑ๐ฒ๐๐ฒ๐ฐ๐๐ถ๐ผ๐ป to identify risks in real time โข ๐๐ฒ๐ผ-๐ณ๐ฒ๐ป๐ฐ๐ถ๐ป๐ด ๐ฎ๐น๐ฒ๐ฟ๐๐ for restricted or unsafe areas โข ๐๐น๐ผ๐ฐ๐ธ๐ฐ๐ต๐ฎ๐ถ๐ป-secured KYC & Digital ID for data integrity โข ๐ข๐ป๐ฒ-๐๐ฎ๐ฝ ๐ฆ๐ข๐ฆ & ๐ฎ๐๐๐ผ๐บ๐ฎ๐๐ฒ๐ฑ ๐-๐๐๐ฅ for emergency response โข Real-time alerts to police, dashboards, and family members This system bridges tourists, authorities, and local safety networks to strengthen Indiaโs tourism safety infrastructure.
Certificates I've earned from different courses and exams.




