kaiftokare
A Social Coder
kaiftokare
A Social Coder
About My Video Editing Passion
As you know, an engineering student does everything except engineering! While everyone was learning double and triple integration, I was exploring frames and lighting for videography. It’s not just a hobby—it’s something deeply close to my heart, something I can't live without. The most fascinating part of capturing and editing videos is knowing that I’ve created something unique, a perspective no one else on Earth would have imagined.
Apps : VN, VITA, Prequel, DaVinci Resolve, Capcut, Wondershare Filmora, etc
I use Canva & Figma to create innovative and futuristic UI/UX of various Apps and Websites. I like to make 3D elements and as I have added at my Home page. And also have worked on React and Node.js applications.
Bikes aren’t just a mode of transport for me—they're a way of life! While I haven’t been on an ultra-long ride yet, my dream begins and ends with a bike trip to Ladakh. For now, my CB Hornet 160R keeps the adrenaline pumping—revving high with the wings of Honda!
Cars aren’t just machines to me—they're a passion, an obsession! I have an undying love for manual transmissions and the raw power of diesel engines. There’s nothing quite like the thrill of a long drive—500 to 600 km or more—feeling the engine roar and the road unfold ahead. And let’s be clear—it’s not just a car… it’s a CAARRRRRRRRRR!
Now comes the part that fuels my love for bikes and cars—my job, which pays me to burn gas! But beyond that, I truly love what I do—coding and developing cutting-edge software using the most relevant tech stack of the time (because, let’s be honest, it changes every minute!).
Projects
MyTrain:A Real-time Vacancy Monitoring System for Local Trains
This app helps passengers make informed decisions by showing the vacancy percentage of each individual train coach, improving their journey experience. The occupancy status is displayed using a color-coded system—Red for highly crowded coaches and Green for less crowded ones. How it works: It is a Flutter-based application that processes real-time footage from existing CCTV cameras in local trains. A Deep Learning model detects heads in the footage, and based on the head count, a formula calculates the percentage vacancy of each coach. This is applied to specific frames to ensure real-time accuracy. The results are displayed to users using a simple color-coded system—Red means the coach is full, Yellow indicates moderate space, and Green means the coach is partially or completely empty. Read More
Mr.Doctor : A (Cardio+Neuro+Dermato)logist
This is a ChatBot powered by LLaMA 2, a Large Language Model (LLM) by Meta, fine-tuned on medical healthcare data sourced from Kaggle. The front-end is built using HTML, CSS, and JavaScript, with an alternative version developed in Next.js. We hosted a server for the LLaMA 2 model and generated an API key using Ngrok, which is integrated into the front-end via JavaScript. To ensure accessibility across multiple devices (both mobile and PC), we leveraged Ngrok once again for seamless connectivity.
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Feel free to reach out if you want to collaborate with me, or simply have a chat. I'd love to hear from you!
You can also email me directly at:
kaiftokare19@gmail.com