Get a firsthand look at how our AI and Machine Learning solutions work through real-world demos. Watch how intelligent algorithms solve complex problems, automate tasks, and deliver smarter results.
A machine learning–powered platform designed to help farmers, researchers, and policymakers make data-driven agricultural decisions with confidence.
Have you ever wished you could take a long meeting recording and instantly get a transcript, a summary of the key points, subtitles, and even a voiceover — all in one go?
At ByteCipher, we engineer AI systems that transform raw data into business intelligence. One of our recent developments is a Sentiment Analysis Web Application designed to analyze customer reviews across platforms such as Amazon, TripAdvisor, and hotel feedback systems.
At ByteCipher Pvt. Ltd., we transform surveillance from passive observation into intelligent, real-time security monitoring. Traditional CCTV systems only record footage — they don’t understand what’s happening. Our CCTV Anomaly Detection project adds a smart AI layer over existing cameras, instantly identifying unusual or suspicious activity, raising alerts, and capturing evidence — all without human intervention.
AI Move Match is an AI - powered movement analysis system that compares a learner’s performance against an expert’s — frame by frame. It doesn’t just give you a score; it highlights which body parts went wrong, logs detailed reports, and delivers AI - generated coaching feedbach.
At ByteCipher Pvt. Ltd., we built an AI-powered Fake News Detection System that scans, analyses, and verifies news in seconds - from text, URLs, or even screenshots.
Ever wondered if a machine could look at two faces and instantly tell how similar they are? We built something that does exactly that.
An AI system that recognizes dog breeds from a single image - built, trained, and deployed end-to-end. An advanced AI-powered system that is developed, taught, and implemented in an end-to-end pipeline to accurately identify a dog breed from a single photograph. This creative project uses state-of-the-art deep learning and computer vision methods to determine breeds instantly and accurately based on a single uploaded image. The technology, which was created for practical use, makes powerful AI approachable and accessible by streamlining veterinary procedures, pet identification, and customized pet-related services.
An AI system that recognizes dog breeds from a single image - built, trained, and deployed end-to-end.
An advanced AI-powered system that is developed, taught, and implemented in an end-to-end pipeline to accurately identify a dog breed from a single photograph. This creative project uses state-of-the-art deep learning and computer vision methods to determine breeds instantly and accurately based on a single uploaded image. The technology, which was created for practical use, makes powerful AI approachable and accessible by streamlining veterinary procedures, pet identification, and customized pet-related services.
Optimized, scalable, and ready for integration in real-world platforms.
This is what applied AI looks like - not future talk, but present impact.
If you're exploring AI/ML models to build smart apps, or exploring image classification, I'd love to hear what you're up to.
Ever wondered if a machine could look at two faces and instantly tell how similar they are?
We built something that does exactly that.
At ByteCipher Pvt. Ltd., we recently developed a Face Comparison API that analyzes two face images and tells you - within seconds - how closely they match. Not just a yes or no, but a confidence score that actually means something. What's exciting is how reliable it is even when the images aren't perfect- different angles, lighting, expressions - it still works. That was a big focus for us: real-world robustness, not just lab-perfect results.
We use face encodings to create unique digital signatures for each face, and then compare them mathematically. The backend is built with Flask wrapped in a clean API that's secure and lightweight. Works seamlessly across web or mobile apps.
This wasn't just about building another AI feature - it was about making face recognition useful and accessible, especially for teams who don't want to deal with the heavy lifting.
If you're working on something in this space, I'd love to chat about where this could plug in or how we made it work under tight constraints. Let's stop talking about what AI could do and start shipping what it should.
Every second, thousands of headlines go viral.
Some are real.
Some… are not. ❌
At ByteCipher Pvt. Ltd., we built an AI-powered Fake News Detection System that scans, analyses, and verifies news in seconds - from text, URLs, or even screenshots.
Python, Flask, Transformers (BERT), Naive Bayes Model, TF-IDF Vectorizer
Because in a world where misinformation spreads faster than facts…
you deserve the tools to stop it in its tracks.
If you want to explore and work with such cool and powerful tools , connect with us !
We believe the future of AI isn’t about replacing humans — it’s about augmenting human performance with intelligent feedback loops.
That’s the vision behind our projects at ByteCipher Pvt. Ltd.
Now imagine, “What if your coach never blinked, never missed a detail, and could give you feedback at scale?” This is what our latest project is about - AI Move Match.
AI Move Match is an AI - powered movement analysis system that compares a learner’s performance against an expert’s — frame by frame. It doesn’t just give you a score; it highlights which body parts went wrong, logs detailed reports, and delivers AI - generated coaching feedbach.
It’s a fusion of computer vision, applied mathematics, and generative AI — designed to be simple on the surface, powerful underneath
If you’re passionate about AI, sports tech, health-tech, or computer vision, let’s connect. The real breakthroughs happen when diverse minds collaborate.
At ByteCipher Pvt. Ltd., we transform surveillance from passive observation into intelligent, real-time security monitoring. Traditional CCTV systems only record footage — they don’t understand what’s happening. Our CCTV Anomaly Detection project adds a smart AI layer over existing cameras, instantly identifying unusual or suspicious activity, raising alerts, and capturing evidence — all without human intervention.
Our system is powered by deep learning with PyTorch, leveraging the VideoMAE (Masked Autoencoder) model fine-tuned on the UCF-Crime dataset. Here’s the process:
This solution scales across industries:
Our system is not just AI-powered — it’s AI-intelligent. By converting ordinary CCTV cameras into proactive security agents, we help organizations save time, prevent losses, and enhance public safety.
At ByteCipher Pvt. Ltd., we don’t just build AI systems — we build solutions that matter. If you’re looking to bring intelligence, safety, and automation to your surveillance systems, we’re ready to help.
At ByteCipher, we engineer AI systems that transform raw data into business intelligence. One of our recent developments is a Sentiment Analysis Web Application designed to analyze customer reviews across platforms such as Amazon, TripAdvisor, and hotel feedback systems.
Our application leverages a fine-tuned RoBERTa-based Transformer model to classify reviews into Positive, Neutral, or Negative categories with high accuracy. It is built for flexibility: users can analyze a single review in real time or upload bulk files for large-scale sentiment distribution. The system ensures speed, scalability, and enterprise readiness without compromising accuracy.
This project reflects our approach at ByteCipher: combining state-of-the-art research in NLP with production-ready deployment strategies to deliver measurable business impact.
If you are exploring AI-driven solutions for customer experience, feedback analysis, or business intelligence, let’s connect. Together, we can build systems that don’t just work in theory — but deliver at scale.
Have you ever wished you could take a long meeting recording and instantly get a transcript, a summary of the key points, subtitles, and even a voiceover — all in one go?
That’s exactly what we built with our AI Video Transcriber & Translator.
All packaged inside a clean Flask-based web app with an easy upload → process → download workflow.
Using the AI Video Transcriber & Translator is straightforward:
This way, a single recording can instantly turn into multi-format, multilingual, ready-to-use content.
Instead of juggling multiple disconnected tools, this pipeline delivers a single, unified workflow that is reproducible and extensible.
At ByteCipher, we’re building AI-driven frameworks that make content intelligent, multilingual, and universally accessible.
Connect with @ByteCipher to explore more such innovations shaping the future of AI-powered media.
A machine learning–powered platform designed to help farmers, researchers, and policymakers make data-driven agricultural decisions with confidence.
At ByteCipher Pvt Limited, we believe the future of farming lies in the seamless blend of data, AI, and farmer-centric design. That’s why we are proud to introduce our project:.
Agriculture is the backbone of our economy, yet crop productivity is often uncertain due to unpredictable weather, soil imbalance, and limited insights. Our solution aims to remove the guesswork by providing accurate yield predictions, nutrient recommendations, and alternative crop choices — right at the farmer’s fingertips.
We’re just getting started! Here’s what lies ahead:
Imagine a farmer in Indore with 5 hectares of land…
He selects Wheat (Rabi season), enters soil nutrients, and our system instantly provides:
That’s science meeting sustainability.
At ByteCipher Pvt Limited, we are committed to empowering farmers and modernizing agriculture with practical AI solutions. This project is a small step toward a smarter, greener, and more sustainable future in farming.
Would love to hear your thoughts — How do you see AI reshaping agriculture in the next decade?
An end-to-end Flask-based AI Grading System that evaluates essays for coherence, grammar, structure, length, plagiarism, and AI-generation likelihood — delivering automated, multi-dimensional scoring reports (JSON + CSV). Supports both single essays and ZIP batch uploads — ideal for educators, edtech platforms, and research labs.
Backend:
NLP Models:
Libraries:
Torch, NumPy, SentenceTransformers, HuggingFace, LanguageTool, CSV/JSON
Architecture:
Modular ML pipeline under /src/models with isolated scoring components.
Input Handling
Model Preloading
All AI models load once at startup for minimal inference time:
Strengths & Weakesses Extraction
Rule-based qualitative evaluation:
Reporting
Generates /report/batch_results_TIMESTAMP.{json,csv}
Returns downloadable links with metrics and leaderboard.
Batch Mode
ZIP upload triggers:
This project merges multiple NLP models to replicate human judgment — leveraging coherence, linguistic quality, and transformer-based plagiarism detection in one unified API.
If you're exploring AI Grading, NLP Evaluation Systems, or EdTech AI automation,
Connect with us to collaborate and innovate together!